Risk modeling of domestic solar water heater using Monte Carlo simulation for east-coastal region of India

被引:27
|
作者
Rout, Auroshis [1 ]
Sahoo, Sudhansu S. [1 ]
Thomas, Sanju [2 ]
机构
[1] CET Bhubaneswar, Dept Mech Engn, Bhubaneswar, Orissa, India
[2] World Inst Sustainable Energy, Pune, Maharashtra, India
关键词
Monte carlo simulation; Net present value; Risk modeling; Solar water heater; Scenario analysis; HOT-WATER; INVESTMENT PROJECTS; HEATING-SYSTEMS; UNITED-STATES; FEASIBILITY; EFFICIENCY; BUILDINGS; IMPACT;
D O I
10.1016/j.energy.2018.01.018
中图分类号
O414.1 [热力学];
学科分类号
摘要
One of the key barriers to diffusion of domestic solar water heater in India is its high capital cost. Hence, there is a perception among people that it is not economically viable. The objective of this paper is to check the validity of this perception using net present value as a tool. An explicit formula has been developed from first principle to calculate the net present value of a domestic solar water heater which can be used globally. Scenario analysis has been conducted taking three scenarios: current, pessimistic and optimistic, to understand the spread in net present value. Taking probability of each scenario, expected net present value is calculated. The next objective is to go a further step to simulate using Monte Carlo simulation to attach a probability value with the net present value. Monte Carlo simulation model has been developed for risk assessment of solar water heaters. A range of values of all input variables have been considered assuming a normal distribution curve and based upon that a probability distribution curve of net present value is obtained. It was found that solar water heater is a viable option for east-coastal region of India. (C) 2018 Elsevier Ltd. All rights reserved.
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页码:548 / 556
页数:9
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