The paper investigates the European space heating (SH) and domestic hot water (DHW) market in order to close knowledge gaps concerning its size. The stimulus for this research arises from incongruences found in SH and DHW market’s data in spite of over two decades of scientific research. The given investigation has been carried out in the framework of the Hotmaps project (Horizon 2020—H2020), which aims at designing an open source toolbox to support urban planners, energy agencies, and public authorities in heating and cooling (H&C) planning on country, regional, and local levels. Our research collects and analyzes SH and DHW market data in the European Union (EU), specifically the amount of operative units, installed capacities, energy efficiency coefficients as well as equivalent full-load hours per equipment type and country, with a bottom-up approach. The analysis indicates that SH and DHW account for a significant portion of the total EU energy utilization (more than 20%), amounting to almost 3900 TWh/y. At the same time, the energy consumption provided by district heating (DH) systems exceeds the one of condensing boilers. While DH systems applications are growing throughout the EU, the replacement of elderly, conventional boilers progresses at a slower pace.

This study fills in knowledge gaps for the European air-conditioning (AC) market, which is fundamentally important to raising awareness about primary energy utilization. In contrast to space heating (SH) and domestic hot water (DHW) preparation, the European Union (EU) AC market is barely explored in scientific literature. While the focus of previous research has been on the residential sector, a shortfall of data for the services (wholesale and retail, offices, education, health, hotels and bars) exists. In this paper, data describing the actual space cooling (SC) market in Europe (quantity of SC units, equivalent full-load hours, installed capacities, seasonal energy efficiency values as well as cooled floor area per AC type and/or sector) is collected and explored using a bottom-up approach. Results indicate that SC is responsible for a significant portion of EU electricity consumption in households (nearly 5%) and even more in the service sector (~13%). Energy consumption for SC in the EU28 appears to be more than 140 TWh/y. The quantification of the European AC consumption shows a significant difference between the service and residential sectors: about 115 versus 25 TWh/y respectively. The SC market in Europe is characterized by a high potential for growth, especially in households.

Abstract:The scope of the present investigation is to provide a description of final electricity prices development in the context of deregulated electricity markets in EU28, up to 2020. We introduce a new methodology to predict long-term electricity market prices consisting of two parts: (1) a self-developed form of Porter's five forces analysis (PFFA) determining that electricity markets are characterized by a fairly steady price increase. Dominant driving factors come out to be: (i) uncertainty of future electricity prices; (ii) regulatory complexity; and (iii) generation overcapacities. Similar conclusions derive from (2) a self-developed form of multiple-criteria decision analysis (MCDA). In this case, we find that the electricity market particularly depends on (i) market liberalization and (ii) the European Union (EU)'s economy growth. The applied methodologies provide a novel contribution in forecasting electricity price trends, by analyzing the sentiments, expectations, and knowledge of industry experts, through an assessment of factors influencing the market price and goals of key market participants. An extensive survey was conducted, interviewing experts all over Europe showed that the electricity market is subject to a future slight price increase.

Given the necessity of strengthening the transition towards a smarter, more sustainable low-carbon future, Smart Cities are considered a powerful tool. However, Smart City projects involving the refurbishment of existing buildings carry key barriers to implementation. The most prominent ones are: i.) a wide time discrepancy between appreciable environmental and economic benefits and immediate costs of action and ii.) economic benefits that might not accrue to who bears the cost of the intervention. This research provides a clue to solving this impasse based on the concept of multiple-benefits evaluation stemming from a shift in perspective from mitigation costs to development opportunities. We considered the costs of interventions on the European building stock under the Smart City projects to assess the multiple-benefits delivered to society. Starting from the monetary aspects of single projects, we identified multipliers to assess three different types of multiple-benefits: i.) Energy savings; ii.) Health and well-being; and iii.) Employment. Our findings indicate that in a time span of 14 years (2005-2018), an amount of about 260 million Euros invested in such projects lead to: i.) an accumulated saving potential of approximately 40 kilotons of oil equivalent, corresponding to 465 GWh; ii.) a reduction in air pollution corresponding to a value of 3 million Euros in avoided costs; and iii.) the creation of around 1,000 jobs with an average duration of 5 years. Considering that most of such investments occurred during the latest economic recession, the impact of the aforementioned multi-benefits appears to be not negligible.

The building sector is responsible for approximately 40% of the European Union's total primary energy demand, which is mainly attributed to space heating, cooling and domestic hot water. In 2010, its value reached 1800 Mtoe/y, to which buildings contributed 720 Mtoe/y. While the Austrian and Italian building stocks are well investigated (e.g., classified by different building typologies, existing floor area, ownership etc.), there still is a lack of information concerning energy/demand values for space heating, cooling and domestic hot water per the various construction periods. In order to identify differences in energy demand, we first classified residential and service sector buildings in Austria and Italy and then attributed specific demand values in kWh/m 2 year. We further subdivided existing buildings per construction period: buildings (i) con

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