Sensor Technology Options for Municipal Solid Waste Characterization for Optimal Operation of Waste-to-Energy Plants

Reuse, refurbishing, and recycling are the most sustainable options for handling waste materials. However, for municipal solid waste (MSW) that is highly heterogenic, crude, contaminated, and decrepit, thermal conversion in waste-to-energy (WtE) plants is an option. In such plants, the fuel quality...

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Main Authors: Harald Ian D. I. Muri, Dag Roar Hjelme
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/15/3/1105
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author Harald Ian D. I. Muri
Dag Roar Hjelme
author_facet Harald Ian D. I. Muri
Dag Roar Hjelme
author_sort Harald Ian D. I. Muri
collection DOAJ
description Reuse, refurbishing, and recycling are the most sustainable options for handling waste materials. However, for municipal solid waste (MSW) that is highly heterogenic, crude, contaminated, and decrepit, thermal conversion in waste-to-energy (WtE) plants is an option. In such plants, the fuel quality of MSW is difficult to predict and the substantial changes expected are challenging for incineration stability. Development of new online sensor technologies for monitoring waste properties prior to incineration is therefore needed. Sensors may contribute to increase WtE process stability, as well as reducing the probability of incineration stops or emissions exceeding legal limits. In this work, the operating principles of potential sensor systems for waste monitoring are categorized and assessed to be implemented for providing parameters for process control or indicators for process alarms in the waste incineration process. For transmissive settings, the use of inductance and hard X-ray sensors are most promising, whereas for reflective settings, utilization of photonic, inductive, soft and hard X-ray, as well as low-frequency radiowave sensors, are most promising. The analytic capacity of single-point measurements with inductance, radiowave, photonic, or X-ray sensors are limited to providing indicators for process alarms, whereas spectral imaging with X-ray or photonic techniques are feasible for providing parameters for both process control and indicators for process alarms. The results obtained in this sensor assessment will be important as a first step in guiding the evolution of monitoring waste properties in the WtE industry to increase repeatability, performance of energy production, and manual labor safety in controlling the waste incineration.
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spelling doaj.art-5c7e097b1cf6439d8dca3a00ac8f2c6c2023-11-23T16:25:14ZengMDPI AGEnergies1996-10732022-02-01153110510.3390/en15031105Sensor Technology Options for Municipal Solid Waste Characterization for Optimal Operation of Waste-to-Energy PlantsHarald Ian D. I. Muri0Dag Roar Hjelme1Department of Electronic Systems, Norwegian University of Science and Technology, 7491 Trondheim, NorwayDepartment of Electronic Systems, Norwegian University of Science and Technology, 7491 Trondheim, NorwayReuse, refurbishing, and recycling are the most sustainable options for handling waste materials. However, for municipal solid waste (MSW) that is highly heterogenic, crude, contaminated, and decrepit, thermal conversion in waste-to-energy (WtE) plants is an option. In such plants, the fuel quality of MSW is difficult to predict and the substantial changes expected are challenging for incineration stability. Development of new online sensor technologies for monitoring waste properties prior to incineration is therefore needed. Sensors may contribute to increase WtE process stability, as well as reducing the probability of incineration stops or emissions exceeding legal limits. In this work, the operating principles of potential sensor systems for waste monitoring are categorized and assessed to be implemented for providing parameters for process control or indicators for process alarms in the waste incineration process. For transmissive settings, the use of inductance and hard X-ray sensors are most promising, whereas for reflective settings, utilization of photonic, inductive, soft and hard X-ray, as well as low-frequency radiowave sensors, are most promising. The analytic capacity of single-point measurements with inductance, radiowave, photonic, or X-ray sensors are limited to providing indicators for process alarms, whereas spectral imaging with X-ray or photonic techniques are feasible for providing parameters for both process control and indicators for process alarms. The results obtained in this sensor assessment will be important as a first step in guiding the evolution of monitoring waste properties in the WtE industry to increase repeatability, performance of energy production, and manual labor safety in controlling the waste incineration.https://www.mdpi.com/1996-1073/15/3/1105waste-to-energywaste characterizationsensor technologiesonline monitoringfeasibility studies
spellingShingle Harald Ian D. I. Muri
Dag Roar Hjelme
Sensor Technology Options for Municipal Solid Waste Characterization for Optimal Operation of Waste-to-Energy Plants
Energies
waste-to-energy
waste characterization
sensor technologies
online monitoring
feasibility studies
title Sensor Technology Options for Municipal Solid Waste Characterization for Optimal Operation of Waste-to-Energy Plants
title_full Sensor Technology Options for Municipal Solid Waste Characterization for Optimal Operation of Waste-to-Energy Plants
title_fullStr Sensor Technology Options for Municipal Solid Waste Characterization for Optimal Operation of Waste-to-Energy Plants
title_full_unstemmed Sensor Technology Options for Municipal Solid Waste Characterization for Optimal Operation of Waste-to-Energy Plants
title_short Sensor Technology Options for Municipal Solid Waste Characterization for Optimal Operation of Waste-to-Energy Plants
title_sort sensor technology options for municipal solid waste characterization for optimal operation of waste to energy plants
topic waste-to-energy
waste characterization
sensor technologies
online monitoring
feasibility studies
url https://www.mdpi.com/1996-1073/15/3/1105
work_keys_str_mv AT haraldiandimuri sensortechnologyoptionsformunicipalsolidwastecharacterizationforoptimaloperationofwastetoenergyplants
AT dagroarhjelme sensortechnologyoptionsformunicipalsolidwastecharacterizationforoptimaloperationofwastetoenergyplants