Search

● Ambitieuze beleidsdoelen en diverse stimuleringsmaatregelen maken de vraag naar groen gas veel groter dan het aanbod is. ● Zonder prijsdempende maatregelen en innovatie in de productie van groen gas zal de prijs van groen gas fors stijgen tot 2030.

● Ambitieuze beleidsdoelen en diverse stimuleringsmaatregelen maken de vraag naar groen gas veel groter dan het aanbod is. ● Zonder prijsdempende maatregelen en innovatie in de productie van groen gas zal de prijs van groen gas fors stijgen tot 2030.

Martien Visser is er klip en klaar over: transport, distributie en opslag van gas is vele malen goedkoper dan van elektriciteit of warmte.

Ter afsluiting van het Bio-P2G project is een eindsymposium georganiseerd waarbij terug wordt geblikt op de afgelopen 4 jaar. De resultaten werden besproken maar ook samenwerkingspartners verzorgden presentaties rondom de energietransitie en biologische methanisering.

Vervanging van aardgas in bestaande woonwijken vergt forse investeringen, doorzettingsmacht van de overheid en beknot haar burgers. Maatschappelijke weerstand ligt op de loer en het afbreukrisico is volgens Martien Visser groot. De resultaten van de proefwijken zijn nog ongewis. Het verdient volgens hem aanbeveling om een plan B met hybride warmtepompen te ontwikkelen.

In deze presentatie stond het project Flexigas en de huidige positionering van groen gas in de samenleving centraal.

A transparent and comparable understanding of the energy efficiency, carbon footprint, and environmental impacts of renewable resources are required in the decision making and planning process towards a more sustainable energy system. Therefore, a new approach is proposed for measuring the environmental sustainability of anaerobic digestion green gas production pathways. The approach is based on the industrial metabolism concept, and is expanded with three known methods. First, the Material Flow Analysis method is used to simulate the decentralized energy system. Second, the Material and Energy Flow Analysis method is used to determine the direct energy and material requirements. Finally, Life Cycle Analysis is used to calculate the indirect material and energy requirements, including the embodied energy of the components and required maintenance. Complexity will be handled through a modular approach, which allows for the simplification of the green gas production pathway while also allowing for easy modification in order to determine the environmental impacts for specific conditions and scenarios. Temporal dynamics will be introduced in the approach through the use of hourly intervals and yearly scenarios. The environmental sustainability of green gas production is expressed in (Process) Energy Returned on Energy Invested, Carbon Footprint, and EcoPoints. The proposed approach within this article can be used for generating and identifying sustainable solutions. By demanding a clear and structured Material and Energy Flow Analysis of the production pathway and clear expression for energy efficiency and environmental sustainability the analysis or model can become more transparent and therefore easier to interpret and compare. Hence, a clear ruler and measuring technique can aid in the decision making and planning process towards a more sustainable energy system. (C) 2015 Elsevier Ltd. All rights reserved.

A transparent and comparable understanding of the energy efficiency, carbon footprint, and environmental impacts of renewable resources are required in the decision making and planning process towards a more sustainable energy system. Therefore, a new approach is proposed for measuring the environmental sustainability of anaerobic digestion green gas production pathways. The approach is based on the industrial metabolism concept, and is expanded with three known methods. First, the Material Flow Analysis method is used to simulate the decentralized energy system. Second, the Material and Energy Flow Analysis method is used to determine the direct energy and material requirements. Finally, Life Cycle Analysis is used to calculate the indirect material and energy requirements, including the embodied energy of the components and required maintenance. Complexity will be handled through a modular approach, which allows for the simplification of the green gas production pathway while also allowing for easy modification in order to determine the environmental impacts for specific conditions and scenarios. Temporal dynamics will be introduced in the approach through the use of hourly intervals and yearly scenarios. The environmental sustainability of green gas production is expressed in (Process) Energy Returned on Energy Invested, Carbon Footprint, and EcoPoints. The proposed approach within this article can be used for generating and identifying sustainable solutions. By demanding a clear and structured Material and Energy Flow Analysis of the production pathway and clear expression for energy efficiency and environmental sustainability the analysis or model can become more transparent and therefore easier to interpret and compare. Hence, a clear ruler and measuring technique can aid in the decision making and planning process towards a more sustainable energy system.

The energy efficiency and sustainability of an anaerobic green gas production pathway was evaluated, taking into account five biomass feedstocks, optimization of the green gas production pathway, replacement of current waste management pathways by mitigation, and transport of the feedstocks. Sustainability is expressed by three main factors: efficiency in (Process) Energy Returned On Invested (P)EROI, carbon footprint in Global Warming Potential GWP(100), and environmental impact in EcoPoints. The green gas production pathway operates on a mass fraction of 50% feedstock with 50% manure. The sustainability of the analyzed feedstocks differs substantially, favoring biomass waste flows over, the specially cultivated energy crop, maize. The use of optimization, in the shape of internal energy production, green gas powered trucks, and mitigation can significantly improve the sustainability for all feedstocks, but favors waste materials. Results indicate a possible improvement from an average (P) EROI for all feedstocks of 2.3 up to an average of 7.0 GJ/GJ The carbon footprint can potentially be reduced from an average of 40 down to 18 kgCO(2)eq/GJ. The environmental impact can potentially be reduced from an average of 5.6 down to 1.8 Pt/GJ. Internal energy production proved to be the most effective optimization. However, the use of optimization aforementioned will result in les green gas injected into the gas grid as it is partially consumed internally. Overall, the feedstock straw was the most energy efficient, where the feedstock harvest remains proved to be the most environmentally sustainable. Furthermore, transport distances of all feedstocks should not exceed 150 km or emissions and environmental impacts will surpass those of natural gas, used as a reference. Using green gas as a fuel can increase the acceptable transportation range to over 300 km. Within the context aforementioned and from an energy efficiency and sustainable point of view, the anaerobic digestion process should be utilized for processing locally available waste feedstocks with the added advantage of producing energy, which should first be used internally for powering the green gas production process. (C) 2015 Elsevier Ltd. All rights reserved.

The energy efficiency, greenhouse gas reduction and cost price of a green gas supply chain were evaluated. The considered supply chain is based on co-digestion of dairy cattle manure and maize, biogas upgrading and injection into a distribution gas grid. A reference scenario was defined which reflects the current state of practice, assuming that input energy is from fossil origin. Possible improvements of this reference scenario were investigated. For this analysis two new definitions for energy input-output ratio were introduced; one based on input of primary energy from all origin, and one related to energy from fossil origin only. The influence of the improvements on greenhouse gas reduction and cost price was assessed too. Results show that electricity (from fossil origin) is the major contributor to energy input in the reference scenario. Switching to green electricity significantly improves the energy efficiency (both definitions) and greenhouse gas reduction. Preventing methane leakage during digestion and upgrading, and re-using heat within the supply chain also show improvements on these parameters as well as on cost price, although their influence is smaller. Decreasing the share of energy crops in the substrate mix shows a negative effect. It is shown that greenhouse gas reduction of more than 80% is possible with current technology. To meet this high sustainability level, multiple improvement options will have to be implemented in the green gas supply chain. Doing so will result in a modest decrease of the green gas cost price. (C) 2014 Elsevier Ltd. All rights reserved.

Groene elektriciteit voor nieuw groen gas?

During the opening of the Hanze Energy Transition Centre or EnTranCe posters were on display for the King and for the public. These posters where accompanied by the researchers to explain their research in more detail if questions did arise.

During the opening of the Hanze Energy Transition Centre or EnTranCe (2015-10-13) posters were on display for the King and for the public. During the opening these posters where accompanied by the researchers to explain their research in more detail if questions did arise.

During the opening of the Hanze Energy Transition Centre or EnTranCe posters were on display for the King and for the public. These posters where accompanied by the researchers to explain their research in more detail if questions did arise.

One of the issues concerning the replacement of natural gas by green gas is the seasonal pattern of the gas demand. When constant production is assumed, this may limit the injected quantity of green gas into a gas grid to the level of the minimum gas demand in summer. A procedure was proposed to increase the gas demand coverage in a geographical region, i.e., the extent to which natural gas demand is replaced by green gas. This was done by modeling flexibility into farm-scale green gas supply chains. The procedure comprises two steps. In the first step, the types and number of green gas production units are determined, based on a desired gas demand coverage. The production types comprise time-varying biogas production, non-continuous biogas production (only in winter periods with each digester having a specified production time) and constant production including seasonal gas storage. In the second step locations of production units and injection stations are calculated, using mixed integer linear programming with cost price minimization being the objective. Five scenarios were defined with increasing gas demand coverage, representing a possible future development in natural gas replacement. The results show that production locations differ for each scenario, but are connected to a selection of injection stations, at least in the considered geographical region under the assumed preconditions. The cost price is mainly determined by the type of digesters needed. Increasing gas demand coverage does not necessarily mean a much higher cost price.

Presentation given to a delegation from the University of Oldenburg and the Research company Next Energy to explore fields of collaboration in research topics.

Designing a green gas supply to meet a regional seasonal demand: a case study.One of the issues concerning the replacement of natural gas by green gas is the seasonal pattern of the gas demand. When constant production is assumed, this may limit the injected quantity of green gas into a gas grid to the level of the minimum gas demand in summer. A procedure was proposed to increase the gas demand coverage in a geographical region, i.e. the extent to which natural gas demand can be replaced by green gas. This was done by modeling flexibility into farm-scale green gas supply chains. The procedure comprises two steps. In the first step, the types and number of green gas production units are determined, based on a desired gas demand coverage. The production types comprise time-varying biogas production, non-continuous biogas production (only in winter periods with each digester having a specified production time) and constant production including seasonal gas storage. In the second step locations of production units and injection stations are calculated, using mixed integer linear programming with cost price minimization being the objective. Five scenarios were defined with increasing gas demand coverage, representing a possible future development in natural gas replacement. The results show that production locations differ for each scenario, but are connected to a selection of injection stations, at least in the considered geographical region under the assumed preconditions. The cost price is mainly determined by the type of digesters needed. Increasing gas demand coverage does not necessarily mean a much higher cost price.

Presentation held for the company BTG regarding the Flexigas project workpackage WPA2.

Presentation held at the company GDF SUEZ regarding the Anaerobic Digestion system.