Identifying Improvement Opportunities in Product Design for Reducing Energy Consumption
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 netwo...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-12-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/24/9611 |
| _version_ | 1827640024631345152 |
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| author | Marcin Relich Arkadiusz Gola Małgorzata Jasiulewicz-Kaczmarek |
| author_facet | Marcin Relich Arkadiusz Gola Małgorzata Jasiulewicz-Kaczmarek |
| author_sort | Marcin Relich |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T16:52:12Z |
| format | Article |
| id | doaj.art-de3c548caead41b4b10aa6c06d01d452 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T16:52:12Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-de3c548caead41b4b10aa6c06d01d4522023-11-24T14:40:12ZengMDPI AGEnergies1996-10732022-12-011524961110.3390/en15249611Identifying Improvement Opportunities in Product Design for Reducing Energy ConsumptionMarcin Relich0Arkadiusz Gola1Małgorzata Jasiulewicz-Kaczmarek2Faculty of Economics and Management, University of Zielona Gora, 65-417 Zielona Gora, PolandDepartment of Production Computerisation and Robotisation, Faculty of Mechanical Engineering, Lublin University of Technology, 20-618 Lublin, PolandFaculty of Management Engineering, Poznan University of Technology, 60-965 Poznan, PolandThe 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.https://www.mdpi.com/1996-1073/15/24/9611energy consumptionenergy costnew product developmentproduct designsustainable developmentsystems modeling and simulation |
| spellingShingle | Marcin Relich Arkadiusz Gola Małgorzata Jasiulewicz-Kaczmarek Identifying Improvement Opportunities in Product Design for Reducing Energy Consumption Energies energy consumption energy cost new product development product design sustainable development systems modeling and simulation |
| title | Identifying Improvement Opportunities in Product Design for Reducing Energy Consumption |
| title_full | Identifying Improvement Opportunities in Product Design for Reducing Energy Consumption |
| title_fullStr | Identifying Improvement Opportunities in Product Design for Reducing Energy Consumption |
| title_full_unstemmed | Identifying Improvement Opportunities in Product Design for Reducing Energy Consumption |
| title_short | Identifying Improvement Opportunities in Product Design for Reducing Energy Consumption |
| title_sort | identifying improvement opportunities in product design for reducing energy consumption |
| topic | energy consumption energy cost new product development product design sustainable development systems modeling and simulation |
| url | https://www.mdpi.com/1996-1073/15/24/9611 |
| work_keys_str_mv | AT marcinrelich identifyingimprovementopportunitiesinproductdesignforreducingenergyconsumption AT arkadiuszgola identifyingimprovementopportunitiesinproductdesignforreducingenergyconsumption AT małgorzatajasiulewiczkaczmarek identifyingimprovementopportunitiesinproductdesignforreducingenergyconsumption |