A comprehensive review of state-of-the-art CCHP modeling, optimization, and operation theory and practice This book was written by an international author team at the forefront of combined cooling, heating, and power (CCHP) systems R&D. It offers systematic coverage of state-of-the-art mathematical modeling, structure optimization, and CCHP system operation, supplemented with numerous illustrative case studies and examples. CCHP systems are an exciting emerging energy technology offering significant economic and environmental benefits. Combined Cooling, Heating, and Power Systems: Modelling, Optimization, and Operation is a timely response to ongoing efforts to maximize the efficiency of that technology. It begins with a survey of CCHP systems from the technological and societal perspectives, offering readers a broad and stimulating overview of the field. It then digs down into topics crucial for optimal CCHP operation. Discussions of each topic are carefully structured, walking readers from introduction and background to technical details. A set of new methodologies for the modeling, optimization and control of CCHP systems are presented within a unified framework. And the authors demonstrate innovative solutions to a variety of CCHP systems problems using new approaches to optimal power flow, load forecasting, and system operation design. Provides a comprehensive review of state-of-the-art of CCHP system development Presents new methodologies for mathematical modeling, optimization, and advanced control Combines theoretical rigor with real-world application perspectives Features numerous examples demonstrating an array of new design strategies Reflects the combined experience of veteran researchers in the field whose contributions are well recognized within the energy community Offers excellent background reading for students currently enrolled in the growing number of courses on energy systems at universities worldwide Timely, authoritative, and offering a balanced presentation of theory and practice, Combined Cooling, Heating, and Power Systems: Modelling, Optimization, and Operation is a valuable resource forresearchers, design practitioners, and graduate students in the areas of control theory, energy management, and energy systems design.

A professional reference title written primarily for researchers in thermal engineering, Combined Cooling, Heating and Power: Decision-Making, Design and Optimization summarizes current research on decision-making and optimization in combined cooling, heating, and power (CCHP) systems. The authors provide examples of using these decision-making tools with five examples that run throughout the book. Offers a unique emphasis on newer techniques in decision-making Provides examples of decision-making tools with five examples that run throughout the book

NREL and Be Power Tech, Inc. (Be Power) will jointly develop a new combined cooling, heating, and power (CCHP) system that uses desiccants in combination with evaporative cooling and fuel cells. The combined system will have better economics and business case than a separate desiccant enhanced air conditioner and fuel cell system. The overall system is expected to become a net revenue generator by delivering power and air conditioning to a building while inputting natural gas and water. This development effort will revolve around adapting NREL's desiccant cooling technology to work with Be Power's proprietary system integration design for CCHP systems. The objective of the CRADA is to develop, then commercialize this CCHP system by jointly developing the system integration design, testing methods, and hardware for this system. The commercial name given to the CCHP system is BeCool.

Combined cooling, heating and power (CCHP) systems are known as trigeneration systems, designed to provide electricity, cooling and heating simultaneously. The CCHP system has become a hot topic for its high system efficiency, high economic efficiency and less greenhouse gas (GHG) emissions in recent years. The efficiency of the CCHP system depends on the appropriate system configuration, operation strategy and facility size. Due to the inherent and inevitable energy waste of the traditional operation strategies, i.e., following the electric load (FEL) and following the thermal load (FTL), more efficient operation strategy should be designed. To achieve the highest system efficiency, facilities in the system should be sized to match with the corresponding operation strategy. In order to reduce the energy waste in traditional operation strategies and improve the system efficiency, two operation strategy design methods and sizing problems are studied (In Chapter 2 and Chapter 3). Most of the improved operation strategies in the literature are based on the ''balance'' plane, which implies the match of the electric demands and thermal demands. However, in more than 95% energy demand patterns, the demands cannot match with each other at this exact ''balance'' plane. To continuously use the ''balance'' concept, in Chapter 2, the system configuration is modified from the one with single absorption chiller to be the one with hybrid chillers and expand the ''balance'' plane to be a ''balance'' space by tuning the electric cooling to cool load ratio. With this new ''balance'' space, an operation strategy is designed and the power generation unit (PGU) capacity is optimized according to the proposed operation strategy to reduce the energy waste and improve the system efficiency. A case study is conducted to verify the feasibility and effectiveness of the proposed operation strategy. In Chapter 3, a more mathematical approach to schedule the energy input and power flow is proposed. By using the concept of energy hub, the CCHP system is modelled in a matrix form. As a result, the whole CCHP system is an input-output model. Setting the objective function to be a weighted summation of primary energy savings (PESs), hourly total cost savings (HTCs) and carbon dioxide emissions reduction (CDER), the optimization problem, constrained by equality and inequality constraints, is solved by the sequential quadratic programming (SQP). The PGU capacity is also sized under the proposed optimal operation strategy. In the case study, compared to FEL and FTL, the proposed optimal operation strategy saves more primary energy and annual total cost, and can be more environmental friendly. Finally, the conclusions of this thesis is summarized and some future work is discussed.

This book looks at environmental aspects of energy technologies, from common traditional sources in use, new sources, and emerging sources and technologies. The objective of this book is to serve as a one-stop comprehensive information resource on energy and environment topics, from energy science to energy engineering to energy politics. Starting with science and technology topics we link them to economics and politics showcasing interconnections between energy sources, energy utilization, energy conversion, and sustainability under the common theme of energy and environment. The book achieves its objective by offering and integrating deeply technical and socioeconomics papers together on energy and environment topics.

This thesis investigates the different strategies of operation and optimization criteria that a CCHP system can be operated under. As energy concerns increase, a major issue for the United States will be the efficiency of energy production. Due to this desire for the most efficient supply of energy CCHP will play an increasingly important role in both domestic and commercial applications as waste heat utilization provides an added measure of efficiency. The different strategies of operation under which a CCHP system can be operated under, electric load following and thermal load following, are defined in addition to the different optimization criteria that a CCHP system can be operated under. The different strategies and optimization criteria of CCHP operation are simulated for five various climate regions in the United States and the results for primary energy consumption, CO2 emissions, and cost of operation are compared.