Optimal scheduling strategy of district integrated heat and power system with wind power and multiple energy stations considering thermal inertia of buildings under different heating regulation modes

Wang, Dan; Zhi, Yunqiang; Jia, Hongjie; Hou, Kai; Zhang, Shen-xi; Du, Wei; Wang, Xudong; Fan, Menghua

doi:10.1016/j.apenergy.2019.01.199

Cited by 137 publications

(41 citation statements)

References 25 publications

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“…15 focus on the application of building's short-term storage capacity in the scheduling of CHPS, and the characteristics of the DHN are not embodied. In studies, [16][17][18][19] both of the DHN and buildings are considered in the modeling of the CHPS. The authors in refs.…”

Section: Introductionmentioning

confidence: 99%

“…16 and 17 establish the models of mass flow and dynamic temperatures at each node of the DHN and buildings. Dan et al 18 investigate the energy flow in the DHN with multiple heat sources under the quality regulation mode and exploit the impact of different heating regulation modes on the thermal capacity of buildings. Similarly, Jin et al 19 contribute to applying different regulation modes into the dispatch model of the CHPS in consideration of the hydraulic and dynamic thermal characteristics of the heating system.…”

Section: Introductionmentioning

confidence: 99%

“…12 The results indicate that both the buildings and the HS benefit the operation of the district heating system. In studies, [16][17][18][19] both of the DHN and buildings are considered in the modeling of the CHPS. 13,14 However, the thermal inertia of buildings is not mentioned.…”

mentioning

confidence: 99%

“…13,14 However, the thermal inertia of buildings is not mentioned. Dan et al 18 investigate the energy flow in the DHN with multiple heat sources under the quality regulation mode and exploit the impact of different heating regulation modes on the thermal capacity of buildings. 15 focus on the application of building's short-term storage capacity in the scheduling of CHPS, and the characteristics of the DHN are not embodied.…”

mentioning

confidence: 99%

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Optimal operation of the combined heat and power system equipped with power‐to‐heat devices for the improvement of wind energy utilization

Chen

Lei

et al. 2019

Energy Science & Engineering

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The combined heat and power system (CHPS) is one important type of the integrated energy system in Northern China. Compared with the independently operated power system, the combined heat and power system (CHPS) has a great potential to improve the utilization of wind energy in virtue of the energy storage of the heating system and power‐to‐heat (P2H) devices. This paper studies the optimal operation of the CHPS equipped with the electric boiler (EB) and heat pump (HP). Comprehensive factors are considered, including P2H conversion, the thermal inertia of district heating network (DHN) and buildings, and adjustable heat loads. An equivalent model of the heating system is developed to express the direct mathematical relations between the heat source and heat loads. Redundant details of the DHN are simplified to reduce the complexity of the optimization problem. Furthermore, a self‐repair method incorporated with the real‐coded genetic algorithm (RCGA) is proposed to efficiently handle the nonlinear constraints. The effectiveness of the solving method is verified in case studies. The impacts of the EB and the HP on the CHPS are compared in details. The results show that the HP offers better performance than the EB on coal saving and improving wind power integration.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Optimal operation of the combined heat and power system equipped with power‐to‐heat devices for the improvement of wind energy utilization

Chen

Lei

et al. 2019

Energy Science & Engineering

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“…Most of the modeling problems are reduced to the numerical solution of systems of differential equations in this system [34] and similar ones. Such studies can be exemplifi ed by modeling projects (based on numerical solutions) of hybrid solar photovoltaic-thermal systems [35][36][37][38], as well as by the projects on modeling the optimal strategy of heating control planning using green technologies based on wind energy [39]. Advanced intelligent tools for modeling daily distribution schedules include neural networks based on various control signal generation algorithms, such as described in [40,41].…”

Section: Introductionmentioning

confidence: 99%

Development and experimental verification of the mathematical model of thermal inertia for a branched heat supply system

Batukhtin¹,

Batukhtina²,

Bass³

et al. 2019

J Appl Eng Science

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The article describes a new method for making management decisions on heat supply in district heating systems, based on solving a sequence of recurrence relations of fi rst-order differential equations, enabling to synthesize daily schedules of heat supply in such systems. Using fi rst order differential equations, we implement real-time daily heat supply scheduling, predict the time-temperature dependence for heating water in the supply line, and we form a decision on the thermal energy delivery on the basis of this information. The effectiveness of our method is confi rmed by numerical modeling and comparative analysis of daily heat supply scheduling with the help of advanced intelligent decision making tools. For comparative analysis, we considered daily scheduling using a nonlinear regression model, a generalized regression neural network, a radial basis neural network, and a linear neural network. The effectiveness of our method was estimated on the basis of MAPE (mean absolute percentage error) and Accuracy coeffi cients. The model was recognized as most effective for which the MAPE value was maximum, and the Accuracy value tended to one hundred percent. Experimental studies showed that our proposed model has an advantage over the regression model by 1.68 times and over the neural models by more than 10.2 times when modeling for a hundred heating network sections. Thus, the main purpose of our study was to increase the accuracy of the method of making a managerial heat supply decision based on the experimental verifi cation of a mathematical model of thermal inertia of a branched district heating system.

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Introduction and Literature Review to Deployment of Photovoltaic Systems in Buildings

Gholitabar,

Ghasemi-Marzbali

2023

Indoor Environment and Sustainable Building

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Optimal scheduling strategy of district integrated heat and power system with wind power and multiple energy stations considering thermal inertia of buildings under different heating regulation modes

Cited by 137 publications

References 25 publications

Optimal operation of the combined heat and power system equipped with power‐to‐heat devices for the improvement of wind energy utilization

Optimal operation of the combined heat and power system equipped with power‐to‐heat devices for the improvement of wind energy utilization

Development and experimental verification of the mathematical model of thermal inertia for a branched heat supply system

Introduction and Literature Review to Deployment of Photovoltaic Systems in Buildings

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