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Green energy integrates renewable electricity from solar, wind, and hydro into smart grids using power electronics, advanced inverters, energy storage, and grid automation to enhance reliability, power quality, and low-carbon transmission.

What Is Green Energy?

Green energy is renewable electricity from solar, wind, and hydro, using power electronics, smart grids, and storage.

✅ Power electronics and inverters convert PV DC to grid-synchronous AC.

✅ Smart grids manage variable renewables with SCADA, EMS, and demand response.

✅ Energy storage and microgrids enhance reliability, power quality, and resilience

Green energy, often synonymous with renewable energy, has gained significant attention in recent years as the world seeks to reduce its reliance on fossil fuels, minimize environmental damage, and promote a more sustainable future. This shift towards clean energy resources helps reduce greenhouse gases and air pollutants and plays a vital role in conserving non-renewable resources and promoting efficiency.

There are several green energy sources, each with unique benefits and challenges. Solar energy, one of the most popular renewable sources, harnesses the sun's energy to generate electricity. Solar panels, commonly installed on rooftops or in solar farms, convert sunlight into electricity for homes and businesses. As solar technology advances, solar system installation costs have dropped significantly, making it more accessible to individuals and communities alike. For homeowners, adopting comprehensive strategies is easier when using resources like energy management frameworks that track consumption and optimize production.

Wind energy, another widely recognized green energy source, is generated by converting the kinetic energy of wind into electricity using wind turbines. Large wind farms can produce significant energy, often enough to power entire communities or cities. However, wind power's effectiveness depends on the location and weather conditions, as wind speeds must be sufficient to generate electricity consistently. To mitigate variability, utilities often integrate energy management systems to balance wind output with demand forecasts.

Hydropower, one of the oldest renewable green energy sources, utilizes the movement of water to generate electricity. Dams and hydroelectric power stations convert the potential energy of water stored at a height into electricity, providing a stable and reliable source of energy. However, the construction of dams can lead to environmental concerns, such as habitat disruption and changes to local ecosystems. In facilities adjacent to dams, building energy management systems can tune loads to align with scheduled releases for greater efficiency.

Biomass energy is derived from organic materials, such as plants and animal waste, which can be burned directly for heat or converted into biofuels, such as ethanol and biodiesel. This form of green energy can help reduce waste and greenhouse gas emissions. However, the large-scale production of biomass crops can compete with food production and lead to deforestation. Modern plants deploy energy management controls to maintain combustion efficiency and emissions performance across feedstock variations.

Geothermal green energy taps into the Earth's natural heat by capturing steam or hot water from underground reservoirs to generate electricity. This clean energy source has a minimal environmental impact, but its availability is limited to areas with specific geological conditions. In buildings served by district geothermal, integrating building automation enables coordinated HVAC setpoints and thermal storage strategies.

Green energy offers numerous environmental benefits, such as reducing greenhouse gas emissions, air pollution, and dependence on finite energy resources like coal, oil, and natural gas. By transitioning to renewable green energy sources, we can significantly reduce our carbon footprint and mitigate the effects of climate change. Additionally, green energy technologies can create new job opportunities and stimulate economic growth.

However, there are also some drawbacks to green energy sources. For example, intermittency issues can arise with solar and wind power, depending on weather conditions. Moreover, the initial investment for installing renewable energy systems can be high, although costs have decreased recently.

Individuals can contribute to the growth of green energy by installing solar panels in their homes, using energy-efficient appliances, and supporting policies that encourage the adoption of renewable energy sources. The cost of switching to green energy varies depending on the technology, location, and government incentives available.

Emerging trends in green energy technology include advancements in energy storage solutions, such as batteries and hydrogen storage, which can help address intermittency issues. Furthermore, innovations in smart grids and microgrids allow for better integration and management of renewable sources. These improvements are complemented by advanced energy management analytics that forecast loads and orchestrate distributed assets.

Government policies play a critical role in supporting the adoption of green energy. For example, incentive programs, tax credits, and subsidies can help lower the cost of renewable power installations, making them more accessible to consumers. Additionally, regulations and targets for reducing greenhouse gas emissions and increasing the use of renewable sources can drive further investment in green energy technologies. Organizations can accelerate adoption by instituting a formal energy management program that aligns incentives, metering, and continuous commissioning efforts.

Embracing green energy sources is crucial for building a sustainable and cleaner future. By understanding the different types of green energy and their environmental benefits, individuals and governments can make informed decisions to promote adopting green energy solutions.

As the United States and other countries worldwide continue to invest in renewable technologies, the production landscape is rapidly changing. This transition to green energy sources is essential to reducing our reliance on fossil fuels, minimizing the environmental impacts of energy production, and ensuring a sustainable future for generations to come.

Increasing public awareness and education is one way to promote green energy further. By informing citizens of the benefits and potential drawbacks of different renewable sources, we can foster a more informed and engaged public, encouraging individuals to make greener choices in their daily lives.

Community-based green energy renewable projects can also help facilitate the widespread adoption of green energy. These projects, such as community solar gardens or small-scale wind farms, allow individuals who may need more resources or space to install their renewable systems to benefit from clean energy production. In addition, by pooling resources and sharing the benefits, communities can work together to create a more sustainable future.

Advancements in green energy technologies will also play a significant role in increasing the adoption of renewable sources. As researchers and engineers continue to develop more efficient and affordable technologies, the barriers to entry for green energy will continue to decrease. In addition, innovations in materials science, such as the development of more efficient solar cells or improvements in wind turbine design, can lead to significant gains in the performance of renewable systems.

Finally, international cooperation and collaboration will be essential in advancing green energy on a global scale. Climate change and environmental degradation do not respect national borders; thus, a united effort is necessary to combat these challenges. By sharing knowledge, resources, and technology, countries can work together to promote the adoption of green energy and build a more sustainable future for all.

Green energy is an essential component of a sustainable, environmentally responsible future. Investing in renewable technologies, supporting government policies, and engaging in individual and community-based efforts can help drive the adoption of green energy sources and ensure a cleaner, healthier world for future generations. With continued innovation, increased public awareness, and international collaboration, the promise of a green energy revolution becomes more attainable each day.

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Benefits of industry networks include collaboration, knowledge sharing, standards alignment, and vendor partnerships that accelerate innovation in electrical engineering, grid modernization, smart manufacturing, and safety compliance across power systems and automation ecosystems.

What Are the Benefits of Industry Networks?

They enable faster innovation, standards compliance, risk mitigation, and scalable solutions through shared expertise.

✅ Accelerates compliance with IEEE, IEC, UL standards and codes

✅ Improves interoperability across SCADA, PLC, and smart grid systems

✅ Enables supplier benchmarking, risk sharing, and joint R&D

Modern control and business systems require open, digital communications. Industrial networks replace conventional point-to-point RS-232, RS-485, and 4-20 mA wiring between existing measurement devices and automation systems with an all-digital, 2-way communication network. Industrial networking technology offers several major improvements over existing systems. With industry-standard networks, we can select the right instrument and system for the job regardless of the control system manufacturer. Other benefits include:

To understand how device-level buses, controllers, and enterprise systems coordinate, resources like industrial automation communication outline protocol choices, latency tradeoffs, and integration patterns. Selecting between Ethernet, fieldbus, and wireless options benefits from comparing transmission methods for industrial networks with respect to determinism, noise immunity, and distance.

• Reduced wiring -- resulting in lower overall installation and maintenance costs
• Intelligent devices -- leading to higher performance and increased functionality such as advanced diagnostics
• Distributed control -- with intelligent devices providing the flexibility to apply control either centrally or distributed for improved performance and reliability
• Simplified wiring of a new installation, resulting in fewer, simpler drawings and overall reduced control system engineering costs
• Lower installation costs for wiring, marshalling, and junction boxes

Delivering these benefits also depends on choosing switches, gateways, and physical media from a well-architected set of industrial network components that match environmental and reliability requirements. Designers often map sensors, controllers, and supervisory systems across the hierarchical levels of industrial networks to balance real-time control with plantwide visibility.

Standard industrial networks offer the capability to meet the expanding needs of manufacturing operations of all sizes. As our measurement and automation system needs grow, industrial networks provide an industry-standard, open infrastructure to add new capabilities to meet increasing manufacturing and production needs. For relatively low initial investments, we can install small computer-based measurement and automation systems that are compatible with large-scale and long-term plant control and business systems. This standards-based approach aligns closely with how a building automation system aggregates HVAC, power, and security data for unified operations. For teams expanding beyond production into facilities integration, understanding what building automation entails helps frame networking requirements and data governance.

As energy costs and sustainability goals rise, leveraging advanced energy management over the same industrial network can drive measurable efficiency gains and carbon reporting accuracy.

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Building Energy Management Systems integrate automation, efficiency, and monitoring of HVAC, lighting, and electrical loads. These systems optimize energy performance, reduce costs, and support sustainability goals for smart buildings and modern facilities.

What are Building Energy Management Systems?

Building Energy Management Systems (BEMS) are intelligent platforms that monitor, control, and optimize building energy usage for greater efficiency and sustainability.

✅ Automate HVAC, lighting, and power systems

✅ Lower operating costs through energy efficiency

✅ Support smart building and sustainability initiatives

Understanding Building Energy Management Systems

Building Energy Management Systems are crucial tools for optimizing energy use in industrial, commercial, and institutional facilities. By integrating advanced technologies such as the Internet of Things (IoT), machine learning, and predictive analytics, BEMS enable significant cost savings, improved performance, and measurable progress toward sustainability. The focus of building management systems is on long-term energy efficiency in commercial buildings, reducing consumption while enhancing comfort. Building Energy Management Systems are closely tied to advanced energy management strategies that help facilities optimize efficiency through real-time monitoring and automation.

How Building Energy Management Systems Work

A BEMS combines hardware and software components to monitor, control, and optimize energy consumption. Sensors, controllers, and actuators collect data on power usage, temperature, humidity, and occupancy. The system software utilizes algorithms and analytics to identify inefficiencies, optimize HVAC and lighting systems, and provide facility managers with actionable insights. IoT devices strengthen this process by enabling real-time communication between equipment, ensuring responsive and precise adjustments. A well-designed building automation system integrates HVAC, lighting, and power controls into a unified BEMS platform that improves performance and sustainability.

Generic BEMS Features: Comparison Table

Key Benefits of BEMS

Building Energy Management Systems improve efficiency by identifying waste and optimizing performance. Facility managers can address equipment malfunctions, poor insulation, or inefficient lighting while reducing carbon footprint. These adjustments lead to:

• Lower operating costs through reduced consumption

• Enhanced occupant comfort and productivity

• Long-term sustainability through emissions reduction

Organizations that implement energy management systems benefit from reduced costs, increased operational control, and the ability to meet regulatory requirements.

Case Studies and Industry Leaders

Global companies such as Schneider Electric, IBM, and Emerson offer BEMS platforms that demonstrate measurable returns. For example, AI-driven HVAC optimization has shown reductions of up to 15% in energy use by automatically adjusting based on occupancy and weather conditions. Real-world implementations demonstrate how BEMS not only reduce costs but also extend equipment life and enhance resilience. To achieve maximum value, facility managers often combine BEMS with specialized energy management controls that automate schedules, adapt to occupancy, and respond to changing conditions.

Standards and Certification

BEMS adoption aligns with international standards, such as ISO 50001, which provides a framework for continuous improvement in energy performance. Certification under ISO 50001 enhances credibility, helps organizations meet regulatory requirements, and supports recognition through programs like LEED and ENERGY STAR.

Best Practices for Implementation To maximize benefits, organizations should:

• Conduct comprehensive energy audits to pinpoint inefficiencies

• Set achievable energy-saving targets using benchmarking data

• Establish monitoring and verification systems for performance tracking

• Engage staff in awareness and training programs

• Update BEMS continuously as technology evolves

Sustainability goals are supported by green energy integration, allowing Building Energy Management Systems to incorporate renewable sources into daily operations.

Demand Response and Future Trends

Demand response strategies are becoming integral to BEMS. These involve adjusting consumption in response to grid fluctuations, price signals, or periods of peak demand. Automated demand response enables facilities to reduce their load without compromising comfort, often earning financial incentives and contributing to grid stability. Looking forward, artificial intelligence, predictive maintenance, and data-driven decision-making will further enhance the role of BEMS in creating smarter, more sustainable buildings. Successful deployment requires a broader energy management program that aligns strategy, technology, and staff engagement across the organization.

Building Energy Management Systems are no longer optional—they are essential for organizations seeking efficiency, cost savings, and environmental stewardship. By integrating advanced technology, following best practices, and aligning with global standards, BEMS deliver long-term value while helping to meet the urgent demand for sustainable building operations.

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Energy management controls optimize electrical systems via building automation, IoT sensors, BMS/SCADA integration, demand response, and load-shedding to improve power quality, reduce peak demand, and enhance HVAC, lighting, and motor efficiency in industrial facilities.

What Are Energy Management Controls?

Automated systems that monitor, control, and optimize electrical loads to boost efficiency, uptime, and power quality.

✅ Integrates PLCs, BMS, and SCADA for centralized load control

✅ Implements demand response, peak shaving, and load shedding

✅ Meters energy, analyzes power quality, and optimizes setpoints

Energy management controls are conservation tools implemented to control heating, energy consumption, lighting systems, heathing ventilation and air conditioning (HVAC) systems. Modern Direct Digital Control (DDC) systems, which can accurately control building systems, have become very cost-effective in recent years. As a result, they are replacing traditional manual and electromechanical building control systems in retrofitted buildings and being installed in almost all new commercial and institutional facilities. However, maximizing energy efficiency requires strategic facility management control methods for controlling the HVAC, power and communications systems. For a deeper look at modern strategies, the overview at advanced energy management explains integration trends across HVAC and lighting.

Regardless of the technology used, deciding which energy management control mode to apply is important. It is important to understand that these modes can be implemented using many available technology types. In many cases, simple on-off control is adequate and very appropriate. In other cases, the desired effect can be on with modulating controllers. The following are basic control modes. The accompanying diagrams will illustrate typical system performance. Practical frameworks for selecting modes are discussed in energy management systems resources available to facility teams.

The term system capacitance refers to the rate of response of a system to a stimulus. Systems with a large capacitance tend to resist change, and the effects of control are felt more slowly than with systems of smaller capacitance. Comparing the effect to a flywheel or relative mass is a good way to describe this concept. Another useful example to illustrate system capacitance is an instantaneous electric water heater (small volume of water) compared to a standard residential tank-type water heater. Upon energizing the heater elements, the water temperature in the tank unit changes much more slowly because it has more mass, and we say it has greater system capacitance. Understanding capacitance helps in tuning building energy management systems for stability under variable loads.

The term gain is a control term synonymous with sensitivity and is usually an adjustable amplification value used to tune the devices. For example, if a quicker response is desired for a small input change, the gain is increased in a stronger output reaction from the controller. These parameters are typically adjusted within a centralized building automation system interface to synchronize responses across equipment.

On-off Energy Management Controls

Also called two-position control, this rudimentary mode is used with either on or off equipment. A nominal setpoint exists but is only achieved in passing. A range of control values must be tolerated to avoid short-cycling the equipment, and temperature ranges are often fairly wide. In the case of equipment that cannot be modulated, this is often the only choice. The smoothness of control depends strongly upon the system capacitance; systems with very low capacitance can experience short cycling problems using two-position control. In practice, on-off strategies often reflect principles introduced in what is building automation guidance that relates simple control to overall system behavior.

Floating Energy Management Controls

This hybrid combination of on-off and modulating control is also called incremental control. As with on-off control, there is a control range (cut-in/cut out). However, unlike on-off control, floating control systems can maintain a mid-position of the controlled device instead of being limited to full-on or full-off. The controlled device holds its last position between the cut-in and cut-out thresholds. The process variable is not under control within this range, and it floats with the load until it crosses a threshold to get another incremental nudge in the correcting direction. This control is tighter than simple on-off control, and although tight than true modulating control, it is inexpensive and reliable. Equipment items from small HVAC terminal units to 1000 HP water chiller inlet vanes are controlled in this manner with good success. Note that floating control is limited to processes that change slowly, and floating control actuators are usually selected as slow-moving. Selecting floating control as part of a broader energy management approach can reduce wear while maintaining comfort within acceptable bands.

Proportional-only Control (P)

This is the basic modulating control and what most commercial pneumatic and analog electronic systems utilize. It is an error-sensing device with an adjustable gain or amplification. A control output is issued to regulate a process, and the magnitude of the output is directly proportional to the size of the error. This type of control is economical and reliable. However, a characteristic offset (residual error) is natural with this type of controller, and the size of the offset will increase with load. This offset occurs because an error must increase (further off setpoint) before an output increase can occur.

If the proportional energy management controls are too sensitive (gain set too high), the controller’s response will be excessive, and oscillation or hunting will occur. When this occurs, the controller output (and the equipment connected) will oscillate up and down, open and closed, etc., and the control action will not settle out. Training and commissioning within an organized energy management program help operators set appropriate gains and avoid persistent hunting.

Conclusion

Automatic energy management controls are useful for basic regulation and quality control of processes and environments. They can also be leveraged for energy savings through optimization. Properly applied, these systems are reliable and cost-effective. Returning to the chapter's intent, the stated purpose of this chapter was to focus on the application of automatic system controllers as a tool to achieve energy savings. The reader should review the titles of each section, reflect on the key topics taken away, and decide if the stated objective was met. It is hoped that the reader has gained insight into how automatic energy management controls can help achieve energy goals. Therefore, they will endeavour to put these systems to work, optimizing processes and saving energy.

From: Energy Management Handbook, 7th Edition, The Fairmont Press

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Transmission Methods Industrial Networks explain Ethernet/IP, PROFINET, Fieldbus, Modbus TCP, and wireless options, covering deterministic control, latency, throughput, topology, and noise immunity for PLC, SCADA, and IIoT connectivity in factory automation.

What Are Transmission Methods in Industrial Networks?

Methods for transferring industrial data via wired, wireless, and real-time protocols to ensure deterministic control.

✅ Compare Ethernet/IP, PROFINET, Fieldbus, Modbus TCP, and CANopen

✅ Address latency, jitter, determinism, bandwidth, and reliability

✅ Select media, topology, shielding, and QoS for harsh environments

The data communication can be analogue or digital. Analogue data takes continuously changing values.

For a broader systems perspective, building automation fundamentals explain how communication methods underpin monitoring and control.

In digital communication, the data can take only binary 1 or 0 values. The transmission itself can be asynchronous or synchronous, depending on the way data is sent. In asynchronous mode transmission, characters are sent using start and stop codes and each character can be sent independently at a nonuniform rate. The synchronous mode transmission is more efficient method. The data is transmitted in blocks of characters, and the exact departure and arrival time of each bit is predictable because the sender/receiver clocks are synchronized. For an introduction to protocols and media choices, industrial automation communication outlines typical options and tradeoffs.

The transmission methods in industrial communication networks include baseband, broadband, and carrierband. In a baseband transmission, a transmission consists of a set of signals that is applied to the transmission medium without being translated in frequency.

To relate signaling to hardware, industrial network components illustrate how cables, switches, and interfaces shape performance.

Broadband transmission uses a range of frequencies that can be divided into a number of channels. Carrier transmission uses only one frequency to transmit and receive information.

Digital optical fibre transmission is based on representing the ones and zeros as light pulses.

The type of the physical cabling system or the transmission media is a major factor in choosing a particular industrial communication network. The most common transmission media for industrial communication network is copper wire, either in the form of coaxial or twisted-pair cable. Fibre optics and wireless technologies are also being used.

Coaxial cable is used for high-speed data transmission over distances of several kilometers.

The coaxial cable is widely available, relatively inexpensive, and can be installed and maintained easily. For these reasons it is widely used in many industrial communication networks.

Twisted-pair cable may be used to transmit baseband data at several Mbit/s over distances of 1 km or more but as the speed is increased the maximum length of the cable is reduced. Twisted-pair cable has been used for many years and is also widely used in industrial communication networks. It is less expensive than coaxial cable, but it does not provide high transmission capacity or good protection from electromagnetic interference.

Fibre optic cable provides increased transmission capacity over giga bits, and it is free from electromagnetic interference. However, the associated equipment required is more expensive, and it is more difficult to tap for multidrop connections. Also, if this is used for sensor cables in process plants, separate copper wiring would be required for instrument power, which might as well be used for the signal transmission. Higher-speed backbones enable analytics such as advanced energy management that depend on timely, high-resolution data.

In many mobile or temporary measurement situations, wireless is a good solution and is being used widely. Real-world deployments like automated level crossings demonstrate how wireless links support safety-critical automation.

Today's environment

Conventional point-to-point wiring using discrete devices and analog instrumentation dominate today's computer-based measurement and automation systems. Twisted-pair wiring and 4-20 mA analog instrumentation standards work with devices from most suppliers and provide interoperability between other 4-20 mA devices. However, this is extremely limited because it provides only one piece of information from the manufacturing process. Historically, measurement networks and automation systems have used a combination of proprietary and open digital networks to provide improved information availability and increased throughput and performance. Integrating devices from several vendors is made difficult by the need for custom software and hardware interfaces. Proprietary networks offer limited multi-vendor interoperability and openness between devices. With standard industrial networks, on the other hand, we decide which devices we want to use. A concise summary of outcomes such as scalability, diagnostics, and lifecycle savings is provided in benefits of industrial networks for decision makers. Designers can map devices to control, supervisory, and enterprise layers using hierarchical network guidance before selecting vendors.

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Industrial automation communication connects PLCs, sensors, drives, and SCADA via protocols like PROFINET, Modbus, OPC UA, and Ethernet/IP, enabling deterministic control, interoperability, diagnostics, safety, and IIoT data across electrical systems and networks.

What Is Industrial Automation Communication?

Networked real-time data exchange between PLCs, sensors, HMIs, and SCADA using standardized industrial protocols.

✅ Supports deterministic Ethernet (TSN) and legacy fieldbus integration

✅ Enables real-time control, diagnostics, and predictive maintenance

✅ Interoperates via PROFINET, Modbus, EtherNet/IP, and OPC UA

In the early 20th century, process control systems and the manufacturing systems were designed based primarily on the mechanical technology and with analog devices. After the period, the pneumatic control technology and the hydraulic power were introduced. The pneumatic control technology made it possible to control remote systems by a centralized control system. These technologies are still very common.

At the beginning of 1960, a digital computer was for the first time really applied as a digital controller. The term direct digital control (DDC) was used to emphasize that the computer directly controls the process. In the 1960s, the application of a minicomputer was still a fairly expensive solution for many control problems. In the meantime, programmable logic controller (PLC) was developed and it replaced the conventional, relay-based controller, having relatively limited control functions. In addition, many technologies were developed for machine tools and discrete production processes. The numerically controlled (NC) machine tool became to be controlled by computers and the robot was developed in this period.

With the more widespread use of digital computers and the associated technologies, industrial communication networks became to be developed with or converted to digital transmission. Proprietary digital communication networks for industrial use started in the 1960s as computers for automation systems were first linked together.

In mid 70s, the first distributed computer control system (DCCS) was announced by Honeywell as a hierarchical control system with a large number of microprocessors. Since its introduction in mid 1970s, the concept of the DCCS spread widely in many industrial automation systems such as power plant control systems, manufacturing systems, etc. The installation of distributed control systems in the newly planned plants or replacement of existing analogue or centralized control systems is presently a common decision of enterprise management. In sectors like power generation, advanced energy management strategies leverage DCS data to optimize load balancing and maintenance planning across units.

The use of local area networks to interconnect computers and automation devices within an industrial automation system has become popular since 1980. The high capacity low cost communication offered by local area networks has made distributed computing a reality, and many automation services. The 

As deployments expanded, many organizations realized that the benefits of industrial networks include lower downtime, scalable integration, and improved data visibility across operations.

industrial automation systems are often implemented as an open distributed architecture with communication over digital communication networks. Achieving high availability requires the right mix of industrial network components such as managed switches, protocol gateways, and ruggedized edge controllers.

It is now common for users connected to a local area network to communicate with computers or automation devices on other local area networks via gateways linked by a wide area network. Similar architectures now extend into transportation, where smart city automated level crossings depend on resilient networking to coordinate sensors, barriers, and central oversight.

As the industrial automation systems becomes large and the number of automation devices increases, it has become very important for industrial automation to provide standards which make it possible to interconnect many different automation devices in a standard way. Considerable international standardization efforts have been made in the area of local area networks. The Open Systems Interconnection (OSI) standards permit any pair of automation devices to communicate reliably regardless of the manufacturer. To plan these interoperable systems, designers often reference hierarchical levels in industrial networks to align plant-floor operations with supervisory and enterprise layers.

Industrial networks span many manufacturing applications. Standard industrial networks using digital communication technologies cover a wide range of manufacturing applications. In many applications, the types of devices and performance determine the type of network. Contrast the needs of two devices -- a proximity sensor used on a conveyor belt compared to a control valve used in a petroleum refinery. The proximity sensor has a single function - to transmit a Boolean on/off signal indicating the proximity of an object. We can accommodate this signal in a few bits of data. Diagnostic information from the sensor is probably limited to a single "health" indicator, which again requires very little data. However, we can expect the control valve to provide very sophisticated control functions and diagnostics, such as number of cycles since last servicing, packing friction, and ambient operating temperature. These parameters can be extremely critical in an environment such as a refinery -- failures can result in dangerous situations and costly downtime. Clearly, the proximity sensor and the control valve have different network requirements. Therefore, different types of industrial networks must address a variety of different needs. We must select the right network to address our specific application requirements.

What is an Industrial Network? By definition, an industrial network requires geographical distribution of the physical measurement I/O and sensors or functional distribution of applications. Most industrial networks transfer bits of information serially. Serial data transfer has the advantage of requiring only a limited number of wires to exchange data between devices. With fewer wires, we can send information over greater distances. Because industrial networks work with several devices on the same line, it is easier to add a new device to existing systems. Comparing fieldbus, Ethernet, and wireless backbones, understanding transmission methods in industrial networks helps engineers match latency, bandwidth, and environmental constraints.

To make all this work, our network must define a set of rules -- a communication protocol -- to determine how information flows on the network of devices, controllers, PCs, and so on. With improved communication protocols, it is now possible to reduce the time needed for the transfer, ensure better data protection, and guarantee time synchronization, and real-time deterministic response in some applications. Industrial networks also ensure that the system sends information reliably without errors and securely between nodes on the network.

For the lower level communication network for industrial automation, the industrial local area network solutions such as MAP are too expensive and/or do not reach the required short response times, depending on the application. The fieldbuses have been, therefore, developed to meet these requirements, and many efforts are now being made to make fieldbus standards for industrial automation applications. The same field-level connectivity principles underpin a modern building automation system where HVAC, lighting, and security integrate reliably across facilities.

Read More: Hierarchical Levels in Industrial Communication Networks

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