Energy modelling and decision support algorithm for the exploitation of biomass resources in industrial districts

Abstract

European energy policies drive to energy efficiency and renewable energies. This global view, converted into national regulations, finds difficulties with energy market, technology costs, and mutable economic conditions making difficult the evaluation of the profitability of these projects. Based upon the above considerations, a Decision Support System for the evaluation of the sustainability of Biomass Combined Heat and Power (BCHP) Plants is here presented. The model provides a technical-economic quantification of a CHP Plant supplied by biomass, with Rankine thermal cycle and District Heating (DH) network serving an industrial district. The aim of the model is to find the optimal Plant configuration in terms of steam turbine choice and the consequent thermal cycle parameters by varying decisional variables describing the type of industrial district, its yearly thermal loads (heating and cooling), the requested carrier fluid, the pipeline distances from the Power Plant. Other parameters, as the feed-in-premium tariff for the electrical energy and natural gas integration, have been considered. Starting by variable and fixed costs and revenues, the Internal Rate of Return of the project has been calculated. An optimal Plant configuration has been defined, and a sensitivity analysis have been performed. The model has been applied to a case related to the city of Quattordio in northern Italy.

Effect of Risk Preference on Entrepreneurial Cooperative Behavior in Industrial Clusters: Based on Neuromanagement and Event-Related Potentials Experiment

“…(2) Determination of entrepreneurial behavior index The experimental indexes are selected based on the research in the field of risk decision. Therefore the final behavioral indexes include correct rate, response time, selection ratio, decision-making time, and risk-taking rate, (Zhang et al, 2003;Xiao et al, 2005;Ma et al, 2009;Zhao et al, 2012;Zhong et al, 2013;Zaccone et al, 2017) among which correct rate, the selection ratio and the risk-taking rate belong to the ratio indexes, while the response time and the decision-making time belong to the time indexes. The ratio and the decision-making response time of the risk-taking option are selected as the behavior data indexes.…”

New Procedure for Thermal Assessment of an Air Cooled Condenser Coupled to Biomass Power Plant

“…In the present times, the low availability of water and the urgent need to use renewable energy sources, have resulted in an important group of contributions aimed at solving the deficiencies that emerging technologies present. Biomass as a source of energy for the generation of electrical power has been one of the solutions used and most widely accepted in countries and regions with ease of access to biomass resources, [1,2].…”

Distributed Product Flow Control in a Network of Inventories With Stochastic Production and Demand

“…Different large-scale complex systems, as logistics networks [1]- [3], water resources [4], and power grids [5], [6] can be modelled as a network of interacting inventory systems (IS) subject to local dynamics. Specifically, each IS can produce, stock, and locally distribute the same kind of product.…”