Abstract
Combined cooling, heating, and power (CCHP) systems are a promising energy-efficient and environment-friendly technology. However, their performance in terms of energy, economy, and environment factors depends on the operation strategy. This paper proposes a multi-energy complementary CCHP system integrating renewable energy sources and schedulable heating, cooling, and electrical loads. The system uses schedulable loads instead of energy storage, at the same time, a collaborative optimization scheduling strategy, which integrates energy supply and load demand into a unified optimization framework to achieve the optimal system performance, is presented. Schedulable cooling and heating load models are formulated using the relationship between indoor and outdoor house temperatures. A genetic algorithm is employed to optimize the overall performance of energy, economy, and environment factors and obtain optimal day-ahead scheduling scheme. Case studies are conducted to verify the efficiency of the proposed method. Compared with a system involving thermal energy storage and demand response (DR), the proposed method exhibits a higher primary energy saving rate, greenhouse gas emission reduction rate, and operation costs saving rate of 7.44%, 6.59%, and 4.73%, respectively, for a typical summer day, thereby demonstrating the feasibility and superiority of the proposed approach.
Highlights
Energy and environmental issues are key challenges for future global sustainable development [1,2].Combined cooling, heating and power (CCHP) systems, with the environmental benefits based on their use of waste heat recovery technology and the energy cascade utilization principle, which have attracted considerable research attention
This paper mainly studies the effect of schedulable cooling and heating load and demand response (DR) on reducing the mismatch between supply and demand of CCHP system and improving the performance of the system
The energy is released from the thermal storage tank to meet the heat load demand, the Renewable energy sources (RESs) meet most of the electrical load, and the remainder is purchased from the grid
Summary
Energy and environmental issues are key challenges for future global sustainable development [1,2]. Thermal energy storage (TES) units are an effective method for CCHP systems to reduce the mismatch between the energy supply and demand, and improve the energetic and economic performances [4,5]. This paper proposes a collaborative optimization scheduling strategy for a multi-energy complementary CCHP system consisting of solar photovoltaics (PVs), wind turbines (WTs), a power generation unit (PGU), a heat pump (HP), an absorption chiller (AC). A Comprehensive schedulable cooling and heating load model environment, is established indoor and evaluation indexes of the economy, andusing energythe performance are outdoor chosen as therelationships optimization objectives, and GA is used to solve theside optimization problem. A schedulable cooling and heating load modeloptimization is established using the indoor andisoutdoor framework, and a multi-objective collaborative scheduling model established to temperature relationships of a house, and the demand side management for multiple types of achieve global optimization of day-ahead scheduling.
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