Abstract
Despite their obvious benefit in terms of energy efficiency and their potential benefit on pollutant emissions, Flue Gas Condensers (FGCs) are still not widely spread in biomass combustion plants. Although their costs have significantly decreased during the last decade, the economic viability of FGC retrofits is not straightforward and their return on investments is mainly dependent on the temperature of the available heat sink and the moisture content of the fuel. Based on a new techno-economic model of a FGC validated with recent industrial data, this paper presents a methodology to assess the economic viability of an FGC retrofitting in a medium-scale biomass combustion plant. The proposed methodology is applied to the case of a typical District Heating plant for which real data was collected. For the first time, the usual assumptions of constant process data generally used are challenged by considering the variability of the return temperature and heat demand over the year. Furthermore, a new concept of optimal configurations in terms of energy savings is introduced in this paper and compared to a strictly economic optimum. The economic feasibility is mainly evaluated by means of the Net Present Value (NPV), Discounted Payback Period (DPP), and the Modified Internal Rate of Return (MIRR). As expected, results show that the higher the humidity level and the lower the return temperature, the higher the economic profitability of a project. The NPV is, however, increased when considering variable inputs: Even with an average return temperature of 60 °C, a mixed operation of the FGC as a condenser and an economizer along the year is predicted, which results in an increased profitability assessment. Considering a constant return temperature over the year can lead to a 20% underestimation of the project NPV. An alternative averaging method is proposed, where two distinct temperature zones are considered: above and below the flue gas dew point. The discrepancy with a detailed temperature variation is reduced to a few percents. Our results also show that increasing the FGC surface beyond the highest NPV can lead to substantial energy savings at a reasonable cost, up to a certain level. The energetic optimum we defined can lead to an increase in energy savings by 17% for the same relative decrease of the NPV.
Highlights
In a conventional boiler, a great amount of energy is lost to the environment due to the heat released by the exhaust Flue Gas (FG)
Based on a new technico-economic model of an Flue Gas Condensers (FGCs), this paper presents a methodology to assess the economic viability of an FGC retrofitting in a medium-scale biomass combustion plant integrated in a District Heating (DH) network
An overview of the results for other boundary conditions is given in order to derive the range of return temperatures and moisture contents for which an FGC retrofit is economically viable for a typical medium-scale biomass-fired power plant
Summary
A great amount of energy is lost to the environment due to the heat released by the exhaust Flue Gas (FG). 15% by equipping the boiler with a flue gas condensing unit [9] Despite their obvious benefit in terms of energy efficiency and their potential benefit on pollutant emissions, FGC’s are still not widely spread in biomass combustion plants with the noticeable exception of Scandinavian countries [11]. To evaluate the full potential of a FGC retrofit for a given installation, it is necessary to account for their variations with time along a typical year They assumed constant heat demands, which is not representative enough to assess the economic viability, even to draw general conclusions. In order to investigate the sensibility of the results, several scenarios in terms of fuel moisture and average return temperature will be investigated The ranges of these parameters for which a FGC retrofit is economically viable for a typical medium-scale biomass-fired power plant will be deduced. A discussion on the limitations of the model and future works will be outlined (see Sections 5 and 6)
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