| 1. |
- Kyprianidis, Konstantinos, et al.
(författare)
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On-line Powerplant Control using Near-InfraRed Spectroscopy : OPtiC-NIRS, REPORT 2021:746
- 2021
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- Near InfraRed Spectroscopy (NIRS) offers rapid on-line analysis of biomass feedstocks and can be utilized for process control of biomass- based combined heat and power plants. Within the OPtiC-NIRS project we have carried out a full-scale on-site testing of different NIRS for online powerplant control at the facilities of Mälarenergi and Eskilstuna Strängnäs Energi och Miljö. The project has been focused on developing and testing robust NIRS soft-sensors for fuel higher heating value and composition (incl. moisture, components such as recycle wood and glass, different type of plastics and ash) and combining them with dynamic models for on-line feed-forward process monitoring and control. Expected benefits include reduced risk of agglomeration and pollutant emissions formation as well as improved production control. A longer-term potential and ambition is to be able to identify the fossil content in municipal waste fuel, which can hopefully be addressed in a follow-up study.
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| 2. |
- Eriksson, Mattias, et al.
(författare)
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Mapping of food waste quantification methodologies in the food services of Swedish municipalities
- 2018
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Ingår i: Resources, Conservation and Recycling. - : ELSEVIER SCIENCE BV. - 0921-3449 .- 1879-0658. ; 137, s. 191-199
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Tidskriftsartikel (refereegranskat)abstract
- Since food waste valorisation measures, like energy recovery, have limited possibilities to fully recover the resources invested in food production, there is a need to prevent food waste. Prevention is most important at the end of the value chain, where most sub-processes have already taken place, like in catering facilities. In Sweden, the public catering sector serves a large number of meals through municipal organisations, including schools, preschools and elderly care homes. Many of these organisations quantify food waste, but since Sweden has 290 municipalities with a high degree of independence, the possible variation is significant. This study therefore investigated how food waste is quantified, in order to help formulate a national standard for food waste quantification. Mapping of food waste quantification practices was conducted using a questionnaire and follow-up telephone calls, achieving a response rate of 93%. Of the 290 Swedish municipalities, 55% replied that they quantify food waste on central level. The most common practice at present is to quantify plate- and serving waste from school lunches during two weeks per year, and to compile waste data in spreadsheets and compare the values against the number of plates used, giving a result in grams per portion served. There are many similarities between municipalities, so there is great potential to implement a common standard that many municipalities already fulfil. This is important in order to gain acceptance and fast implementation, thereby speeding up the process of establishing a benchmark for food waste in the Swedish public sector catering sector.
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| 3. |
- Eriksson, Mattias, et al.
(författare)
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The tree structure : A general framework for food waste quantification in food services
- 2018
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Ingår i: Resources, Conservation and Recycling. - : Elsevier BV. - 0921-3449 .- 1879-0658. ; 130, s. 140-151
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Tidskriftsartikel (refereegranskat)abstract
- Food waste in the food services industry has been identified as an important unsustainability hotspot, but standardised methods for food waste quantification are lacking. Existing studies on waste quantity assessments have several limitations, such as short and infrequent quantifications times, large methodological variations ranging from physical measurements to visual observations, and lack of comparability across catering unit types. Since lack of comparable waste figures can lead to error-prone analysis, a general framework is needed for waste quantification in food services. This paper presents one such framework that allows data comparisons when overlapping observations are included. The framework was tested in six case studies in professional (public and private) catering units in Sweden. Data were collected from different schools, elderly care homes and hotels and fitted into the framework. The results from these case studies indicate that the framework enables catering units to focus waste quantification on their individual problem areas. It also provides the possibility to extend waste quantification over time without any loss of generalisability. A graphical representation of the framework fits the traditional tree structure and was found to act as a suitable foundation for food waste quantification in food services by structuring collected data. In order to fully utilise the potential of the tree structure, it should be supplemented with precise definitions to create a catering food waste quantification standard.
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| 4. |
- Naqvi, Muhammad, et al.
(författare)
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Polygeneration system integrated with small non-wood pulp mills for substitute natural gas production
- 2018
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Ingår i: Applied Energy. - : Elsevier. - 0306-2619 .- 1872-9118. ; 224, s. 636-646
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Tidskriftsartikel (refereegranskat)abstract
- This study aims to examine the potential substitute natural gas (SNG) production by integrating black liquor gasification (BLG) island with a small wheat straw-based non-wood pulp mills (NPM), which do not employ the black liquor recovery cycle. For such integration, it is important to first build knowledge on expected improvements in an overall integrated non-wood pulp mill energy system using the key performance indicators. O2-blown circulating fluidized bed (CFB) gasification with direct causticization is integrated with a reference small NPM to evaluate the overall performance. A detailed economic analysis is performed together with a sensitivity analysis based on variations in the rate of return due to varying biomass price, total capital investment, and natural gas prices. The quantitive results showed considerable SNG production but significantly reduced electricity production. There is a substantial CO2 abatement potential combining CO2 capture and CO2 mitigation from SNG use replacing compressed natural gas (CNG) or gasoline. The economic performance through sensitivity analysis reflects significant dependency on both substitute natural gas production and natural gas market price. Furthermore, the solutions to address the challenges and barriers for the successful commercial implementation of BLG based polygeneration system at small NPMs are discussed. The system performance and discussion on the real application of integrated system presented in this article form a vital literature source for future use by large number of small non-wood pulp industries.
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| 5. |
- Shahbazi, Sasha, et al.
(författare)
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Material efficiency in manufacturing: swedish evidence on potential, barriers and strategies
- 2016
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Ingår i: Journal of Cleaner Production. - : Elsevier BV. - 0959-6526 .- 1879-1786. ; 127, s. 438-450
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Tidskriftsartikel (refereegranskat)abstract
- Improved material efficiency is a key to improve the circular economy and capturing value in industry. Material efficiency reduces the generation of industrial waste, the extraction and consumption of resources, and energy demands and carbon emissions. However, material efficiency in the manufacturing sector, as a means of improving the recyclability, reusability, reduction and prevention of industrial waste, is little understood. This study aims to investigate, on a micro-level, further material efficiency improvement opportunities, barriers and strategies in selected manufacturing companies in Sweden, focusing on increasing waste segregation into high quality circulated raw material. Improvement opportunities at large global manufacturing companies are investigated; barriers hindering material efficiency improvement are identified and categorized at two levels; and strategies that have been deployed at manufacturing companies are reviewed. Empirical findings reveal (1) further potential for improving material efficiency through higher segregation of residual material from mixed and low quality fractions (on average, 26% of the content of combustible waste, in weight, was plastics; 8% and 6% were paper and cardboard, respectively); (2) the most influential barriers are within budgetary, information, management, employee, engineering, and communication clusters; (3) a lack of actual material efficiency strategy implementation in the manufacturing companies. According to our analysis, the majority of barriers are internal and originate within the manufacturing companies, therefore they can be managed (and eradicated if possible) with sufficient resources in terms of man hours, education and investment, better operational and environmental (waste) management, better internal communication and information sharing, and deployment of material efficiency strategies.
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| 6. |
- Zhang, Chi, et al.
(författare)
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Purchase Intention for Crowd-funded Milk Products with Integrated Photovoltaic Water Pumping Systems in China
- 2019
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Ingår i: Renewable Energy Integration with Mini/Microgrid. - : Elsevier. ; , s. 503-508, s. 503-508
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Konferensbidrag (refereegranskat)abstract
- In comparison with current financing mechanisms for renewable energy systems, crowd-funding financing mechanism offers a new potential source of financing with recent use of social media. Crowd-funding financing mechanism can also increases the social supports for renewable energy systems as users and investors turn to be more actively engaged in energy systems. As a new potential source of financing, crowd-funding mechanism has different forms, including donation, lending, equity and product reward approaches. In this paper, discrete choice model was used to explore whether crowd-funding financing with a novel sociotechnical product reward practice, has the attractions for potential customers to pay for a more sustainable milk product with distributed photovoltaic (PV) system. We empirically investigated the reward-base crowd funding with the specific integrated photovoltaic water pumping (PVWP) system in dairy milk production in China. 48 in-depth interviews were adopted for qualitative analysis of determinants of customer milk purchase decision. The ordered probit regression was employed with 357 online surveys to systematically estimate the purchase intention for the online-crowd-funding sustainable milk. Customer behaviours, environmental consciousness, and the individual socio-demographic factors were tested as potential explanatory variables. In the survey and depth interview samples, we found interviewees as potential customers showed strong purchase intentions to the crowd funding dairy milk for noticing milk quality and nutritious improvement, emission reduction and environmental benefits by the integrated PVWP system. In our findings of the regression results, the females, customers with young children or planning to have children were found with higher willing to purchase than other customers for crowd funding the sustainable dairy milk. The familiarity and popularity with online shopping and pre-sale purchase in China made customers more open and active towards pre-pay and crowd-funding mechanism.
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| 7. |
- Dong, Beibei, et al.
(författare)
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AI-based Dynamic Modelling for CO2 Capture
- 2023
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Ingår i: Energy Proceedings.
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Konferensbidrag (refereegranskat)abstract
- Integrating CO2 capture with biomass/waste fired combined heat and power plants (CHPs) is a promising method to achieve negative emission. However, the use of versatile biomass/waste and dynamic operation of CHPs result in big fluctuations in the flue gas (FG) and heat input to CO2 capture. Dynamic modelling is essential to investigate the interactions between key process parameters in producing the dynamic response of the CO2 capture process. In order to facilitate developing robust control strategies for flexible operation in CO2 capture plants and optimizing the operation of CO2 capture plants, artificial intelligence (AI) models are superior to mechanical models due to the easy implementation into the control and optimization. This paper aims to develop an AI model, Informer, to predict the dynamic responses of MEA based CO2 capture performance from waste-fired CHP plants. Dynamic modelling was first developed in Aspen HYSYS software and validated against the reference. The operation data from the simulated CO2 capture process was then used to develop and verify Informer. The following variables were employed as inputs: inlet flue gas flow rate, CO2 concentration in inlet flue gas, lean solvent flow rate, heat input to CO2 capture. It was found that Informer could predict CO2 capture rate and energy consumption with the mean absolute percentage error of 6.2% and 2.7% respectively.
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| 8. |
- Geng, Y., et al.
(författare)
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Recent trend of industrial emissions in developing countries
- 2016
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Ingår i: Applied Energy. - : Elsevier. - 0306-2619 .- 1872-9118. ; 166, s. 187-190
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Tidskriftsartikel (refereegranskat)abstract
- Greenhouse gas (GHG) emissions from industrial sectors are increasing, particularly in the developing world where pursuing industrialization has been highly addressed. This calls for further studies to learn and share experiences for developing countries. In order to fill in such a research gap, this special issue focuses on examining the recent trend of industrial emissions in developing countries. Among the manuscripts submitted to the Special Issue, twelve papers have been accepted after review, covering assessment indicators, tools and methods, and policies. Key industrial sectors, including cement, lime, aluminum, coal, mining, glass, soda ash, etc, have been investigated. Valuable policy insights have been raised, including wide scale upgrading, replacement and deployment of best available technologies, integrated information platforms, cross-cutting technologies and measures, a shift to low carbon electricity, radical product innovations, carbon dioxide capture and storage (CCS), demand on new and replacement products, systematic approaches and collaboration among different industries. These useful suggestions could be shared or learned by industrial policy makers or managers in the developing world so that the overall GHG emissions from their industrial sectors can be mitigated by considering the local realities.
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| 9. |
- Ghaviha, Nima, et al.
(författare)
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Review of Application of Energy Storage Devices in Railway Transportation
- 2017
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Ingår i: Energy Procedia. - : Elsevier BV. - 1876-6102.
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Konferensbidrag (refereegranskat)abstract
- Regenerative braking is one of the main reasons behind the high levels of energy efficiency achieved in railway electric traction systems. During regenerative braking, the traction motor acts as a generator and restores part of the kinetic energy into electrical energy. To use this energy, it should be either fed back to the power grid or stored on an energy storage system for later use. This paper reviews the application of energy storage devices used in railway systems for increasing the effectiveness of regenerative brakes. Three main storage devices are reviewed in this paper: batteries, supercapacitors and flywheels. Furthermore, two main challenges in application of energy storage systems are briefly discussed. © 2017 The Authors.
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| 10. |
- Huang, L., et al.
(författare)
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Carbon footprint of oil products pipeline transportation
- 2021
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Ingår i: Science of the Total Environment. - : Elsevier B.V.. - 0048-9697 .- 1879-1026. ; 783
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Tidskriftsartikel (refereegranskat)abstract
- As climate issues gradually attract public attention worldwide, the operation and construction of oil product pipelines have been attached with new energy-saving and emission-reduction targets. Though previous studies concerning Life Cycle Assessment of oil and gas pipelines have estimated the carbon footprint to some extent, there is a lack of researches that take the characteristics of oil products pipelines into consideration. Oil products pipelines undertake the task of delivering various products to downstream demand locations, which differs greatly from other pipeline transportation systems as back-to-back sequential delivery is adopted. In this paper, a detailed Life Cycle Assessment model is established to analyze carbon emissions of oil products pipeline system from construction to disposal as well as its impact on soil environment. Data from practical pipes is adopted as the case study to reflect emissions produced in different stages, and the amount of total and unified emissions of different pipes provided through the proposed model is within the range of 2.78 to 4.70 tCO2e/t·km. Then, sensitivity analysis is carried out to identify the driving factors of emissions. According to the calculation results, pipe length, diameter and throughput turn out to be the dominating factors, and an empirical formula is derived for future planned pipes. Relevant recommendations are put forward based on the results to help reduce emissions from oil product pipe transportation.
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