A feasible system integrating combined heating and power system with ground-source heat pump

Li, HongQiang; Kang, Shushuo; Zhao, Yu; Cai, Bo; Zhang, Guoqiang

doi:10.1016/j.energy.2014.06.015

Cited by 33 publications

(7 citation statements)

References 27 publications

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“…The software packages, used to simulate the GSHP performance, are Energy Plus, TRNSYS [152], RET Screen [165], ASPEN plus [199], eQUEST [81], ESP-r [119], DeST [150], IMST-ART [98], COMSOL Multiphysics [200,201], FEFLOW [135,136], Ground Loop Heat exchanger (GLHEPro) [141], FlexPDE [116], Earth Energy Designer (EED) [127], GeoHP-Calc [133] and Ground Loop Design (GLD) [142]. Table 5 shows different software packages details.…”

Section: Simulation Of the Gshp Systemmentioning

confidence: 99%

Fossil energy reduction for heating and cooling of buildings using shallow geothermal integrated energy systems – a comprehensive review

KUMAR

2023

Journal of Thermal Engineering

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Ground source heat pumps (GSHP) are a very efficient system for space heating and cooling, and it was established in 1904. GSHPs can minimize the environmental effect of buildings by using the ground as a renewable energy source. The ground will act as a heat sink or heat source. The research collection aims at finding the various possible opportunities for the effec-tive integration of shallow geothermal energy (SGE) to decrease the fossil energy in the built environment and to reduce emission associated with it. The direct utilization of SGE using a ground source heat pump (GSHP) has been reviewed in detail for global north and global south countries, with a primary focus on heating application. The punctual information of results of various authors have been extensively summarized. This review discusses the GSHP installation status, SGE availability, GSHP system simulation, feasibilities, and performance. Worldwide more than one million GSHP systems have been installed, and the system is prev-alent in Europe, the Americas, and Asia. Most of the systems are installed for heating-domi-nated buildings in the global north. This paper also contains the research details pertaining to the last two decades about refrigerants and compressors for the development of GSHP. Finally, the feasibility study and the performance of the GSHP unit for different climatic conditions are reviewed and it is found that the technique is more feasible for cold and dry climatic con-ditions. This paper highlights the recent research findings and a potential gap in the above components for further research and development.

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Section: Simulation Of the Gshp Systemmentioning

confidence: 99%

Fossil energy reduction for heating and cooling of buildings using shallow geothermal integrated energy systems – a comprehensive review

KUMAR

2023

Journal of Thermal Engineering

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“…However, the working time mode is usually limited in terms of reducing the damage caused by the system to the environmental energy balance. The output power of the GSHP depends on the performance coefficient and load condition; its variable condition characteristics can be described as follows [35]:…”

Section: Mathematical Modelingmentioning

confidence: 99%

Optimization of a Multi-Energy Complementary Distributed Energy System Based on Comparisons of Two Genetic Optimization Algorithms

et al. 2021

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The development and utilization of low-carbon energy systems has become a hot topic of energy research in the international community. The construction of a multi-energy complementary distributed energy system (MCDES) is researched in this paper. Based on the multi-objective optimization theory, the planning optimization of an MCDES is studied, and a three-dimensional objective-optimization model is constructed by considering the constraints of the objective function and decision variables. Aiming at the optimization problem of building terminals for the MCDES studied in the paper, two genetic optimization algorithms—Non-Dominated Sorting Genetic Algorithm II (NSGA-II) and Non-Dominated Sorting Genetic Algorithm III (NSGA-III)—are used for calculation based on an example analysis. The constraint conditions of practical problems were added to the existing algorithms. Combined with the comparison of the solution quality and the optimal compromise solution of the two algorithms, a multi-decision method is proposed to obtain the optimal solution based on the Pareto optimal frontier of the two algorithms. Finally, the optimal decision scheme of the example is determined and the effectiveness and reliability of the optimization model are verified. Under the application of the MCDES optimization model studied in this paper, the iteration speed and hypervolume index of NSGA-III are found to be better than those of NSGA-II. The values of the life cycle cost and life cycle carbon emission objectives after the optimization of NSGA-III are indicated as 2% and 14% lower, respectively, than those of NSGA-II. The primary energy efficiency of NSGA-III is shown to be 20% higher than that of NSGA-II. According to the optimal decision, the energy operation strategies of the example MCDES with each typical day in the four seasons indicate that good integrated energy application and low-carbon operation performance are shown during the four-seasons operation process. The consumption of renewable energy is significant, which effectively reduces the application of high-grade energy. Thus, the theoretical guidance and engineering application reference are provided for MCDES design planning and operation optimization.

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“…It can be used for heating in winter and cooling in summer [10,18]. Compared to traditional heating methods that can only convert a small part of the electrical energy into heat energy, which is not economic, GSHP's output (thermoelectric or cold energy), by absorbing low temperature heat from the environment or releasing heat energy into the environment, can be relatively high with only consuming small amount of electric power as an input, thereby significantly reducing fossil energy consumption [18,21]. However, its working time pattern is usually limited for reducing damage to the energy balance of the environment, thus GSHP works as follows:…”

Section: Ground Source Heat Pump (Gshp)mentioning

confidence: 99%

“…Different from the modeling and optimization of a single energy supply system, IES includes many different forms of energy systems, such as electricity, natural gas, heat, and so on [4,10]. The characteristics of various forms of energy system are also different, and there are complex coupling relationships among various forms of energy system at the same time, thus, modeling and optimization of IES is more complex [6,21].…”

Section: Upper Level Modeling and Optimizationmentioning

confidence: 99%

“…Another type of heat load is heating buildings, such as residential areas, huge shopping malls, large libraries, etc., which are here called 'buildings'. This kind of heat load has strict requirements on temperature and needs to be modeled separately [21,25]. The following equivalent thermal parameter model can be employed to describe the characteristics of buildings, where the equation of state is discretized during programming:…”

Section: Heat Systemmentioning

confidence: 99%

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Hierarchical Multi-Objective Fuzzy Collaborative Optimization of Integrated Energy System under Off-Design Performance

Zhong

Zhou²,

Zong³

et al. 2019

Energies

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In order to solve the frequently occurred nonlinear working characteristics problem of the devices in integrated energy system (IES), where this nonlinear problem causes the offset of operation characteristics and design points of those devices, in this paper, the hierarchical multi-objective fuzzy collaborative optimization model of IES under off-design performance is proposed. Firstly, the high-order nonlinear models of devices under off-design performance, including fuel cell (FC), gas turbine (GT), absorption lithium bromide chiller (ABS), etc., are presented considering renewable energy and diversified storage devices, which can more accurately describe the actual working condition of devices. Secondly, according to the needs of different engineering application modes, the lower level collaborative optimization model of energy hub (EH) with economic, eco-friendly, primary energy saving, and renewable energy accommodation rate as optimization objectives is proposed, which can well adapt to and reflect real world energy system. Thirdly, based on the relationship between master and slave dispatch centers, the upper level modeling and optimal scheduling model of IES consisting of coupling power system, natural gas system, and heat system is proposed. Then, a multi-objective fuzzy collaborative optimization model for EH and IES is developed, where continuous differentiable Sigmoid function is taken as the membership function. Finally, simulation results show that the proposed models and optimal dispatch method can effectively solve the frequently occurred non-linear working characteristics problem of the devices in IES. The optimal results are suitable for planning, calculation, operation, dispatch of IES, which can reasonably reflect the operation characteristics of IES.

show abstract

A feasible system integrating combined heating and power system with ground-source heat pump

Cited by 33 publications

References 27 publications

Fossil energy reduction for heating and cooling of buildings using shallow geothermal integrated energy systems – a comprehensive review

Fossil energy reduction for heating and cooling of buildings using shallow geothermal integrated energy systems – a comprehensive review

Optimization of a Multi-Energy Complementary Distributed Energy System Based on Comparisons of Two Genetic Optimization Algorithms

Hierarchical Multi-Objective Fuzzy Collaborative Optimization of Integrated Energy System under Off-Design Performance

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