High fuel costs, increasing energy security and concerns with reducing emissions have pushed governments to invest in the use of renewable energies for electricity generation. However, the intermittence of most renewable resources when renewable energy provides a significant share of the energy...

As micro-CHP systems move towards mass deployment an increasing emphasis will be placed on their effect on time-varying demands for network electricity. A 50 dwelling data set of heat and power demands was employed to investigate the implementation of various penetrations of μCHP system on the...

This paper presents an application of Artificial Neural Networks (ANNs) to predict daily solar radiation. We look at the Multi-Layer Perceptron (MLP) network which is the most used of ANNs architectures. In previous studies, we have developed an ad-hoc time series preprocessing and optimized a...

Based on 25 years of involvement in a number of important and representative political decision-making processes in Denmark and other countries, this paper presents the unified learning of some of the institutional barriers one will meet when radical technological changes such as the replacement...

This paper proposes a model to minimize life-cycle costs of meeting the energy demand (power, heating, cooling) of a commercial building by integrating cogeneration, solar and conventional energy sources. The possibility to export the onsite produced power under a given legislative framework is...

This paper studies the cost of energy (COE) for several emerging, fossil fuel power plants such as an integrated gasification combined cycle (IGCC) power plant, a natural gas combined cycle (NGCC) power plant, and a pulverized coal (PC) power plant under three different scenarios defined by the...

Energy procurement is a necessity which needs a deep study of both the demand and the generation sources, referred to consumers territorial localization. The study presented in this paper extends and consolidate the Shimon Awerbuch’s study on portfolio theory applied to the energy planning, in...

Pinch analysis techniques have been developed for a wide range of applications ranging from process plant thermal or water integration to financial and supply chain management. This paper presents a new application of pinch analysis. A scenario is assumed wherein energy sector planning takes...

The increasing demand for energy, especially from renewable and sustainable sources, spurs the development of small hydropower plants and encourages investment in new survey studies. Preliminary hydropower survey studies usually carry huge uncertainties about the technical, economic and...

This work presents algebraic targeting techniques for energy sector planning with carbon (CO2) emission and land availability constraints. In general, it is desirable to maximize the use of low- or zero-carbon energy sources to reduce CO2 emission. However, such technologies are either more...