A novel solar-geothermal trigeneration system integrating water desalination: Design, dynamic simulation and economic assessment

被引:90
|
作者
Calise, Francesco [1 ]
d'Accadia, Massimo Dentice [1 ]
Macaluso, Adriano [2 ]
Vanoli, Laura [2 ]
Piacentino, Antonio [3 ]
机构
[1] Univ Naples Federico II, Dept Ind Engn, Naples, Italy
[2] Univ Naples Parthenope, Dept Engn, Naples, Italy
[3] Univ Palermo, Dept Energy Informat Engn & Math Models, I-90133 Palermo, Italy
关键词
Solar energy; Geothermal energy; Polygeneration; Desalination; Thermoeconomic; ORGANIC RANKINE-CYCLE; RENEWABLE POLYGENERATION SYSTEM; WORKING FLUIDS; EXERGOECONOMIC ANALYSIS; THERMODYNAMIC ANALYSIS; POWER-PLANTS; ORC; ENERGY; OPTIMIZATION; PERFORMANCE;
D O I
10.1016/j.energy.2016.07.103
中图分类号
O414.1 [热力学];
学科分类号
摘要
In this paper, an innovative solar-geothermal polygeneration system is investigated. The system supplies a small community with electricity, desalinated water and space heating and cooling through a district network. The hybrid multi-purpose plant, based on an Organic Rankine Cycle (ORC) supplied by medium-enthalpy geothermal energy and by solar energy; this latter is provided by Parabolic Trough Collectors (PTC). The geothermal brine is first used to drive the ORC loop, then to provide space heating at around 85 divided by 90 degrees C (in the winter), or cooling (in the summer, by means of a single-effect absorption chiller). Finally, the geothermal brine drives a Multi-Effect Distillation (MED) system, where seawater is converted into freshwater. For such a system, a dynamic simulation model was developed in TRNSYS environment. In particular, the ORC model, developed in Engineering Equation Solver (EES), was based on zero-dimensional energy and mass balances and includes specific algorithms to evaluate the off design performance. Similarly, a novel model of the MED unit was developed in EES. Suitable control strategies were implemented for the optimal management of system. The energy and economic performance of the system under analysis was investigated, using different time bases (day, week, month, year). Finally, a sensitivity analysis was performed to determine the set of system, design/control parameters able to minimize the simple payback period. The results showed that the novel system is highly flexible and efficient. On the other hand, a significant capital cost must be taken into account, so that the system is economically profitable only when the majority of the energy available for heating and cooling purposes is actually used. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1533 / 1547
页数:15
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