共 32 条
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
来源:
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.
引用
收藏
页码:548 / 556
页数:9
相关论文