Electrical Engineering Department, High Voltage and Power Systems Research Lab, Piraeus University of Applied Sciences, 250, Thivon & P. Ralli Ave, 12244, Egaleo, Greece.
Earth Engineering Center, Columbia University, New York, USA.
Environ Sci Pollut Res Int. 2018 Sep;25(27):26715-26724. doi: 10.1007/s11356-017-9488-1. Epub 2017 Jun 23.
This study attempts the development of an algorithm in order to present a step by step selection method for the location and the size of a waste-to-energy facility targeting the maximum output energy, also considering the basic obstacle which is in many cases, the gate fee. Various parameters identified and evaluated in order to formulate the proposed decision making method in the form of an algorithm. The principle simulation input is the amount of municipal solid wastes (MSW) available for incineration and along with its net calorific value are the most important factors for the feasibility of the plant. Moreover, the research is focused both on the parameters that could increase the energy production and those that affect the R1 energy efficiency factor. Estimation of the final gate fee is achieved through the economic analysis of the entire project by investigating both expenses and revenues which are expected according to the selected site and outputs of the facility. In this point, a number of commonly revenue methods were included in the algorithm. The developed algorithm has been validated using three case studies in Greece-Athens, Thessaloniki, and Central Greece, where the cities of Larisa and Volos have been selected for the application of the proposed decision making tool. These case studies were selected based on a previous publication made by two of the authors, in which these areas where examined. Results reveal that the development of a «solid» methodological approach in selecting the site and the size of waste-to-energy (WtE) facility can be feasible. However, the maximization of the energy efficiency factor R1 requires high utilization factors while the minimization of the final gate fee requires high R1 and high metals recovery from the bottom ash as well as economic exploitation of recovered raw materials if any.
本研究旨在开发一种算法，以便为垃圾焚烧能源设施的选址和规模提供一种逐步选择方法，旨在实现最大的能源输出，同时考虑到一个基本障碍，即垃圾入场费。为了以算法的形式制定拟议的决策方法，确定并评估了各种参数。原则上，模拟输入是可用于焚烧的城市固体废物（MSW）的数量及其净热值，这是工厂可行性的最重要因素。此外，研究重点是既能提高能源产量又能影响 R1 能源效率因素的参数。通过对整个项目进行经济分析，估算最终的入场费，调查根据所选场地和设施的产量预计的费用和收入。在这一点上，算法中包含了一些常用的收入方法。该算法已通过在希腊雅典、塞萨洛尼基和希腊中部的三个案例研究进行了验证，其中拉丽莎和沃洛斯市已被选为应用拟议决策工具的地点。这些案例研究是根据两位作者之前发表的一篇文章选择的，这些地区在该文章中进行了研究。结果表明，在选择垃圾焚烧能源（WtE）设施的地点和规模方面，开发一种“可靠”的方法是可行的。然而，要实现能源效率因素 R1 的最大化，需要高的利用率因素，而要实现最终入场费的最小化，则需要高的 R1 和从底灰中回收的高金属含量，以及如果有任何回收原材料的经济开发。
