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DURATION: 2017-2019 PROJECT LEADER: Konstantinos Kyprianidis FUNDED BY: KKS. PARTNERS: Bestwood, Mälarenergi, Eskilstuna Energi och Miljö. KEY INVESTIGATORS Jan Skvaril (MDH), Konstantinos Kyprianidis (MDH), Erik Dahlquist (MDH), Anders Avelin (MDH), Monica Odlare (MDH). SUMMARY Near Infrared Reflectance Spectroscopy (NIRS) offers rapid on-line analysis of biomass feedstocks that can be utilized for process control of biomass-based CHP plants. We carry out a full-scale on- site implementation of NIRS for online powerplant control at the facilities of Mälarenergi (ME) and Eskilstuna Sträng- näs Energi och Miljö (ESEM). We focus on developing robust NIRS soft-sensors for fuel properties and composition and combining them with dynamic models for on-line feed-forward process moni- toring and control. Expected benefits include reduced risk of agglomeration and pollutant emissions formation as well as improved production control and identification of fossil content in munici- pal waste fuel. OBJECTIVES Transfer existing laboratory NIR calibrations for biomass and waste material properties to a combined heat and power plant online bio- mass handling system. Use the soft sensor signals as input to powerplant control and evaluate the possibility for process control. Implement the system on-line along with other available sensors and dynamic models at ME and ESEM powerplants. Use the integrated system for determining key parameters such as fuel feed volume and providing useful input for control to the line operators. Evaluate the benefits from the on- line implementations at the ME and ESEM powerplants. Evaluate the potential for high technology readiness level perma- nent implementation of the on-line measurements at ME and ESEM power plants. TASKS WP1: Data collection, qualitative analysis and NIR measurements of wood chips and other biomass products Including spectroscopy on-line cha- racterization of incoming feedstock, such as wood chips, recycled wood etc. in a full-scale installation. WP2: Multivariate modeling, monitoring and evaluation Statistical and machine learning pre-processing, analysis and eva- luation of the results from the NIR measurements. WP3: Dynamic model development Development of new physical dyna- mic models as well as modification of existing models already develo- ped within the research group. Feedback from regular measure- ments performed at the power plants to be added to further train the models into self-learning. WP4: Operational settings and model imple- mentation Implementation, testing and evalua- tion of the NIR equipment and dyna- mic models in full-scale and on-site experiments at the industrial sites of the partner companies. SPECTRA SPECTRAL MEASUREMENTS FOR PREDICTION OF BIOMASS PROPERTIES 2.0 RECENT PUBLICATIONS Skvaril, Jan, Konstantinos G. Kypriani- dis, and Erik Dahlquist. ”Applications of near-infrared spectroscopy (NIRS) in biomass energy conver- sion processes: A review.” Applied Spectroscopy Reviews 52.8 (2017): 675-728. Skvaril, Jan. ”Near-Infrared Spectroscopy and Extractive Probe Sampling for Biomass and Combustion Characterization.” Mälardalen University Doctoral Dissertation (2017). Kyprianidis, Konstantinos, and Jan Skvaril. ”Developments in Near- Infrared Spectroscopy.” InTech (2017). Updated November 2017

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DURATION: 2017-2019PROJECT LEADER: Konstantinos KyprianidisFUNDED BY: KKS.PARTNERS: Bestwood, Mälarenergi, Eskilstuna Energi och Miljö.KEY INVESTIGATORS Jan Skvaril (MDH), Konstantinos Kyprianidis (MDH), Erik Dahlquist (MDH), Anders Avelin (MDH), Monica Odlare (MDH).

SUMMARY Near Infrared Reflectance Spectroscopy (NIRS) offers rapid on-line analysis of biomass feedstocks that can be utilized for process control of biomass-based CHP plants. We carry out a full-scale on-site implementation of NIRS for online powerplant control at the facilities of Mälarenergi (ME) and Eskilstuna Sträng-näs Energi och Miljö (ESEM). We focus on developing robust NIRS soft-sensors for fuel properties and composition and combining them with dynamic models for on-line feed-forward process moni-toring and control. Expected benefits include reduced risk of agglomeration and pollutant emissions formation as well as improved production control and identification of fossil content in munici-pal waste fuel.

OBJECTIVES • Transfer existing laboratory NIR

calibrations for biomass and waste material properties to a combined heat and power plant online bio-mass handling system.

• Use the soft sensor signals as input to powerplant control and evaluate the possibility for process control.

• Implement the system on-line along with other available sensors and dynamic models at ME and ESEM powerplants.

• Use the integrated system for determining key parameters such as fuel feed volume and providing useful input for control to the line operators.

• Evaluate the benefits from the on-line implementations at the ME and ESEM powerplants.

• Evaluate the potential for high technology readiness level perma-nent implementation of the on-line measurements at ME and ESEM power plants.

TASKSWP1: Data collection, qualitative analysis and NIR measurements of wood chips and other biomass products• Including spectroscopy on-line cha-

racterization of incoming feedstock, such as wood chips, recycled wood etc. in a full-scale installation.

WP2: Multivariate modeling, monitoring and evaluation• Statistical and machine learning

pre-processing, analysis and eva-luation of the results from the NIR measurements.

WP3: Dynamic model development• Development of new physical dyna-

mic models as well as modification of existing models already develo-ped within the research group.

• Feedback from regular measure-ments performed at the power plants to be added to further train the models into self-learning.

WP4: Operational settings and model imple-mentation• Implementation, testing and evalua-

tion of the NIR equipment and dyna-mic models in full-scale and on-site experiments at the industrial sites of the partner companies.

SPECTRA SPECTRAL MEASUREMENTS FOR PREDICTION OF BIOMASS PROPERTIES 2.0

RECENT PUBLICATIONS

Skvaril, Jan, Konstantinos G. Kypriani-dis, and Erik Dahlquist. ”Applications of near-infrared spectroscopy (NIRS) in biomass energy conver-sion processes: A review.” Applied Spectroscopy Reviews 52.8 (2017): 675-728.

Skvaril, Jan. ”Near-Infrared Spectroscopy and Extractive Probe Sampling for Biomass and Combustion Characterization.” Mälardalen University Doctoral Dissertation (2017).

Kyprianidis, Konstantinos, and Jan Skvaril. ”Developments in Near-Infrared Spectroscopy.” InTech (2017).

Updated November 2017

FUTURE ENERGY CENTERTHE CHALLENGES due to energy related emissions, increased energy demand and the fragile state of the global economy calls for rethinking global energy systems. Therefore, the research within the Future Energy Center at Mälardalen University focuses on renewable energy, energy efficiency and emission mitigation, as well as smarter modelling, optimiza-tion and management.

FUTURE ENERGY CENTER is an esta-blished and internationally competi-tive research environment to achieve scientific excellence and to enhance co-innovation with stakeholders from industry and other organisations. We develop innovative solutions and tools in the areas of energy, building and environmental engineering. The cen-ter comprises nine professors, fifteen senior researchers and more than forty graduate students.

MER14 ”MDH:s Evaluation for impro-ved Research quality” was an evalua-tion of research conducted at MDH

in 2013 and 2014. According to the evaluation Future Energy Center carries out a world-class research.

THREE FOCUS AREASThe research at Future Energy Center is focused on three areas:

TRACK 1 Renewable energyTRACK 2 Energy efficiency and emission mitigationTRACK 3 Smarter modelling/ optimisation and management

FUTURE ENERGY CENTER offers studies at post-graduate level in Energy and Environmental Engineering.We are one of the partners of the Graudate School Reesbe (Resource-Efficient Energy Systems in the Built Environment). The center also has esta-blished collaborative partnerships with dozens of industrial partners. Scientists are actively participating in various international cooperation worldwide involving in organization of interna-tional conferences, establishment of virtual collaboration labs, and exchan-ges of students and professors.

CONTACT US www.mdh.sei

PROFILE LEADERJinyue Yan Professor in Energy Engineering. [email protected]

TRACK 1Eva Thorin Professor in Energy Engineering. [email protected]

TRACK 2Fredrik Wallin Senior Lecturer. [email protected]

TRACK 3KonstantinoskyprianidisProfessor in Energy Engineering. konstantinos. [email protected]