Solar assist district heating system;
Heat pump;
Artificial neural network;
Multi-objective optimization;
Key performance indicators;
4th generation district heating;
THERMAL-ENERGY STORAGE;
DESIGN OPTIMIZATION;
SYSTEMS;
PERFORMANCE;
FEASIBILITY;
METHODOLOGY;
IMPACT;
TANK;
D O I:
10.1016/j.enconman.2020.113379
中图分类号:
O414.1 [热力学];
学科分类号:
摘要:
The movement toward the 4th generation district heating (4GDH) embraces a great opportunity to support the future smart energy development concept. However, its development calls for addressing technological and economic obstacles aligning with the need for a reformation of the energy market to ensure the quality of service. In this context, our paper presents a comprehensive analysis based on a multi-objective optimization framework incorporating an artificial neural network-based model for the possibility of integrating heat pump (HP) into solar assisted district heating system (SDHS) with seasonal thermal energy storage to support the sustainable transition toward 4GDH. The study evaluates the performance of the proposed system with the help of key performance indicators (KPI) related to the 4GDH characteristics and key stakeholders for possible market growth with consideration for the environmental benefits. The proposed analysis is applied to a small neighbourhood of 10 residential buildings located in Madrid (Spain) to investigate the optimal integration of HP under different control strategies into a SDHS. Inherent the SDHS operator perspective, the results reveal a significant improvement in the stabilization of the SDHS performance due to the HP integration where the solar field temperature never exceeds 80 degrees C, and the seasonal storage tank (SST) temperature stands at 85.4 degrees C. In addition, the share of solar energy stands above 86.1% with an efficiency of 73.9% for the SST, while the seasonal HP performance factor stands above 5.5 for all optimal scenarios. From the investor viewpoint, an energy price of 59.1 Euro/MWh can be achieved for the proposed system with a payback period of 26 years. Finally, from the policymaker perspective, along with the significant economic and sustainable improvement in the SDHS performance, a substantial environmental improvement of 82.5% is achieved when compared to the conventional boiler heating system. The proposed analysis reflects a great motivation for different stakeholders to propose this system as a path toward the 4GDH in the future district energy systems.
机构:
Tallinn Univ Technol, Dept Energy Technol, Ehitajate Tee 5, EE-19086 Tallinn, EstoniaTallinn Univ Technol, Dept Energy Technol, Ehitajate Tee 5, EE-19086 Tallinn, Estonia
机构:
Univ Jaume 1, Dept Mech Engn & Construct, ISTENER Res Grp, Campus Riu Sec S-N, E-12071 Castellon de La Plana, SpainUniv Jaume 1, Dept Mech Engn & Construct, ISTENER Res Grp, Campus Riu Sec S-N, E-12071 Castellon de La Plana, Spain
Mateu-Royo, Carlos
Sawalha, Samer
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机构:
Royal Inst Technol KTH, Energy Technol Dept, Brinellvagen 68, SE-10044 Stockholm, SwedenUniv Jaume 1, Dept Mech Engn & Construct, ISTENER Res Grp, Campus Riu Sec S-N, E-12071 Castellon de La Plana, Spain
Sawalha, Samer
Mota-Babiloni, Adrian
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机构:
Univ Jaume 1, Dept Mech Engn & Construct, ISTENER Res Grp, Campus Riu Sec S-N, E-12071 Castellon de La Plana, SpainUniv Jaume 1, Dept Mech Engn & Construct, ISTENER Res Grp, Campus Riu Sec S-N, E-12071 Castellon de La Plana, Spain
Mota-Babiloni, Adrian
Navarro-Esbri, Joaquin
论文数: 0引用数: 0
h-index: 0
机构:
Univ Jaume 1, Dept Mech Engn & Construct, ISTENER Res Grp, Campus Riu Sec S-N, E-12071 Castellon de La Plana, SpainUniv Jaume 1, Dept Mech Engn & Construct, ISTENER Res Grp, Campus Riu Sec S-N, E-12071 Castellon de La Plana, Spain