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- Title
Identifying Improvement Opportunities in Product Design for Reducing Energy Consumption.
- Authors
Relich, Marcin; Gola, Arkadiusz; Jasiulewicz-Kaczmarek, Małgorzata
- Abstract
The paper is concerned with predicting energy consumption in the production and product usage stages and searching for possible changes in product design to reduce energy consumption. The prediction of energy consumption uses parametric models based on regression analysis and artificial neural networks. In turn, simulations related to the identification of improvement opportunities for reducing energy consumption are performed using a constraint programming technique. The results indicate that the use of artificial neural networks improves the quality of an estimation model. Moreover, constraint programming enables the identification of all possible solutions to a constraint satisfaction problem, if there are any. These solutions support R&D specialists in identifying possibilities for reducing energy consumption through changes in product specifications. The proposed approach is dedicated to products related to high-cost energy use, which can be manufactured, for example, by companies belonging to the household appliance industry.
- Subjects
PRODUCT design; ENERGY consumption; HOUSEHOLD appliances industry; PRODUCT improvement; TECHNICAL specifications; CONSTRAINT programming
- Publication
Energies (19961073), 2022, Vol 15, Issue 24, p9611
- ISSN
1996-1073
- Publication type
Article
- DOI
10.3390/en15249611