Demand Side Management in Pellet Production: Internal and External Factors

This paper demonstrates a demand side management case study: how to save energy and how research and data analysis help to create an energy management system in a pellet production facility; and shows ways to implement the EU energy efficiency directive in production facilities. The study carried out in this research serves as a far-reaching step that can be taken to improve energy efficiency during the operation mode of technological equipment. The benchmarking methodology is used for analysis of results. Internal and external factors and indicators, which affect energy management potential in pellet production are analysed. Analysis of external factors is based on the state legal framework regulating the development of the energy sector. Methodology on the analysis of energy demand includes the internal energy management of an enterprise. The experimental results discussed in this paper show that particular steps, which are oriented to specific use of technological equipment, could play significant role in energy efficiency improvement in industry which is illustrated by the pre-milling process in the pellet production system using power

Industrial CHP Excess Heat Efficient Usage for Cooling

This study investigates the possibilities how to utilize the combined heat and power plant (CHP) excess heat in the industry during the hot periods of time when the heat demand is limited. In order to maximize the CHP electricity production the efficient heat load has to be increased. The goal of this article is to present the solution for the industrial CHP excess heat utilization for the local cooling. The study introduces the method and model of how to evaluate the industrial CHP plant potential and economical benefit for the production of local cooling from the excess heat

Cleaner Pellet Production. Energy Consumption Study Using Statistical Analysis

This study investigates and analyses the methodology for introducing cleaner wood pellet production. A statistical model is developed for the energy consumption analysis. Efficiency indicators have been chosen which allow determining the impact on the production process. The developed model can be used in other similar type of industries. This study has processed large empirical data with statistical methods in order to establish the efficiency indicators. The modelled results enable to define the indicators which lead to higher efficiency and hence to the cleaner production

Industrial CHP Optimal Management in the Energy Market under Incomplete Information

This paper investigates the possibilities how to optimize the industrial combined heat and power plant (CHP) daily operations and decision making process. The aim of the paper is to develop a method for an economic optimization of the industrial CHP. The method takes into account the industrial production together with an energy production in order to maximize the global profit for the entire facility. The method utilizes the electricity spot market price variation for the benefit of the market participant