Impact of energy management software on the improvement of energy performance in public buildings

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1 Impact of energy management software on the improvement of energy performance in public buildings Prof. Dr Velimir Čongradac Faculty of technical sciences, Novi Sad, Serbia

2 Introduction Why to use energy management software (EMS)?

3 In 2007 the European Commission set a new goal for Europe s future 20% 20% 20% Greenhouse gas emission Efficient usage of energy in public and private sectors Production of energy from renewable energy sources

4 Energy management software importance Today, many efforts are oriented toward fulfillment of these goals Among the other actions and techniques, during the last few decades it is notable more and more significant usage of energy management software solutions Energy Management Software (EMS) is a general term and category referring to a variety of energy-related software applications which may provide utility bill tracking, real-time metering, building HVAC and lighting control systems, building simulation and modeling, carbon and sustainability reporting, IT equipment management, demand response, and/or energy audits. Managing energy can require a system of systems approach [1] Energy management software often provides tools for reducing energy costs and consumption for buildings or communities. EMS collects energy data and uses it for three main purposes: Reporting, Monitoring and Engagement [1] [1]

5 TEDS4BEE and EMMOS

6 TEDS4BEE project One example of EMS solution is EMMOS (Energy Management and Monitoring Operational System) Digital Service, which is capable to collect, store and analyze all building data that influence energy consumption (temperature, humidity, CO 2, lighting, occupancy etc.) EMMOS has been tested within the Test of Digital Services for Buildings Energy Efficiency (TEDS4BEE) - a Project funded by the Competitiveness and Innovation Programme (CIP) of European Commission, which has gathered the consortium consisting of 12 companies from 7 European countries (United Kingdom, Ireland, Portugal, Spain, Italy, Serbia and Poland)

7 TEDS4BEE project Consortium members was organized in 5 clusters Within the TEDS4BEE, EMMOS was implemented in 16 buildings with different climate conditions and uses

8 EMMOS features Data collection: different ways of collecting data. It includes a data repository for multiple buildings and contracts and it allows to storage energy usage data and other variables Data analysis: the web oriented digital services provides information related to the building and the parameters that influence their energy performance User configurable dashboard: each user can configure his own dashboard, depending on his needs and user role

9 EMMOS features Web-oriented: unique web repository for multiple buildings and contracts which stores all relevant energy data Various target users: ESCOs, building managers, stakeholders, construction and maintenance companies etc. Reports: decision-making oriented and personalized Benchmarking building to building (b2b)/to n-building (b2n): it allows comparison and diagnosis of two buildings/n-buildings Projected energy (PE) Return of energy (ROE)

10 Operation activities

11 Operation activities Service work was conceived as repeatable cycle of several steps: Data collection and analysis: for each pilot building, a set of measurable monitored points (e.g., energy source consumption, outdoor temperature, occupancy, etc.) are defined and continuously collected by EMMOS server. At the end of each month, reports showing various information are generated Creating the energy optimization plan: Based on EMMOS reports, users create a set of possible actions that could bring optimization to the energy consumption Plan proposition: when plan containing a set of actions is created, it is presented to the building manager who then decides on their acceptance / rejection

12 Operation activities Energy conservation actions: once possibilities for energy optimization are recognized, building managers and technicians start to plan and implement the actions that should lead to better energy performance Results analysis: After all approved actions are implemented and finished, a new set of EMMOS reports are generated (based on new data) in order to obtain information about the real impact of conducted actions

13 Energy conservation actions

14 Energy conservation actions Energy conservation actions were based on PDCA (plan, do,check, act) methodology All steps of PDCA methodology are completely incorporated in previously explained operation activities

15 Energy conservation actions example Emergency center One of the buildings that has participated in TEDS4BEE project is Emergency center, Novi Sad Finished in 2010., Emergency center is the first medical facility in Serbia which is housed in a fully computerized building (access control, video surveillance, property management, building automation etc.)

16 Energy conservation actions example Emergency center An example of corrective actions produced with this methodology on Emergency center Novi Sad is shown below: PLAN DO CHECK ACT Energy consumption reduction Root cause analysis Action Status Effect confirmation New actions Turning off ventilation fans during night. Lack of time schedule Ventilation fans work for fans work. schedule. Completed. Reduction of electricity consumption comparing to the baseline. [None] Regulation of AHUs set points. Manual regulation of AHUs supply air (stochastic work). Programmatic regulation of AHUs set points. Partially completed. In all units except for two critical AHUs. Reduction of thermal energy consumption comparing to the baseline. Further software improvements. Regulation of heat recovery work. Lack of any automation of the heat recovery units. Programmatic regulation of heat recovery work. Completed. Reduction of thermal energy consumption comparing to the baseline. Further software improvements. Replacement of filters in AHUs ducts. All variable frequency drives are on the maximum speed, and desired airflow cannot be achieved. Procurement and installation of new filters. Completed. Reduction of electricity consumption comparing to the baseline. [None] Zoning Lack of zone control in premises. Introducing the zone control in each premise. Rejected. High cost and impact on the continuity of building usage. [None] To be checked in the future if there is budget allocated for zoning.

17 Energy conservation actions example Emergency center Thanks to the implemented actions, Emergency center Novi Sad saved 162,515 kwh during one year, which is about 5,9% of total energy usage This is equal to 8,467 for the period of 12 months Considering that this is modern facility with no plenty of space for improvements, and that even one of the most significant proposed actions was not conducted at all, it can be concluded that achieved results are excellent

18 Energy conservation actions example Emergency center Energy reduction per month Energy reduction Parameter Result Annual Energy Reduction 5.9% Annual Energy Reduction 162,515 kwh/yr Annual Cost Reduction 8,468 Average Annual Energy Consumption Before Intervention 2,773,493 kwh/yr Average Annual Energy Consumption After Intervention 2,610,978 kwh/yr Carbon reduction Parameter Result Annual CO 2 Reduction 5.3% Annual CO 2 Reduction 133,574 kg CO 2 /yr Average CO 2 Before Intervention 2,516,919 kg CO 2 /yr Average CO 2 After Intervention 2,383,345 kg CO 2 /yr A summary of the results

19 Results in all buildings

20 Results Thermal energy: During the study period, associated energy reductions were between 7.73% and 30.47% resulting in an aggregated energy reduction by consumers of 22.76% which equates to 1,450,070 kwh/yr. This resulted in an aggregated annual carbon reduction of 21.6% which equates to 363,139 kg CO 2 /yr Electrical energy: During the study period, associated energy reductions were between 5.10% and 35.84% resulting in an aggregate energy reduction of 8.2% which equates to 537,519 kwh/yr. This resulted in an aggregated annual carbon reduction of 8.2% which equates to 377,925 kg CO 2 /yr Energy reduction - Total Thermal Parameter Annual Energy Reduction 22.8% Annual Energy Reduction Average Annual Energy Consumption Before Intervention Average Annual Energy Consumption After Intervention Result 1,450,070 kwh/yr 6,369,980 kwh/yr 4,919,910 kwh/yr Energy reduction - Total Electricity Parameter Annual Energy Reduction 8.2% Annual Energy Reduction Average Annual Energy Consumption Before Intervention Average Annual Energy Consumption After Intervention Result 537,519 kwh/yr 6,581,090 kwh/yr 6,043,571 kwh/yr

21 Return of investments Information about energy savings is used to calculate return of investment (ROI) ROI is based on invested funds and operational costs of EMMOS work (operation by end user, that is building management dedication), as well as on annual cost reduction Invested amount is covered with TEDS4BEE project expenses Considering all above, it can be seen that 12 out of 16 pilot buildings have reached positive results

22 Return of investments Building Amount invested ( ) Building manager dedication ( ) Amount Returned ( ) Gain or Loss ( ) Gain or Loss without amount invested ( ) B1 - Buttershaw Business/enterprise college 1, ,918 57,744 59,044 B17 - Università del Salento ,167 3,293 3,293 B3 - Clinical centre of Vojvodina Novi Sad 1, ,467 6,093 7,593 B4 - Real estate management Wola Warsaw ,434 1,559 1,559 B5 - Technical University of Warsaw ,641 15,766 15,766 B6 - Marshall s office on Lodz region B7 - Soto del Real s Swimming pool 71, ,039-75,675-3,915 B8 - Soto del Real s City Hall B9 - Social security directorate Zaragoza 1, ,222 21,710 23,347 B10 - Financial control unit Zaragoza 1, ,128-1,490 B11 - Social security office 50/01 Zaragoza 1, , ,335 B12 - Social security office 50/02 Zaragoza 1, , B13 - Social security office 50/03 Zaragoza 1, ,133-1, B14 - Social security office 50/04 Zaragoza 1, , B15 - Social security office 50/05 Calatayud 1, ,674 1,162 2,799 B16 - Social security office 50/06 Zaragoza 1, , ROI calculation for pilot buildings during the TEDS4BEE project

23 Future usage benefits

24 Return of investment future use In the sense of future usage, there are two main approaches exploited: keeping the achieved level of energy performance (no increment of energy savings during the following years), and possibility of further energy optimization (increase of energy savings over the years) Energy savings estimation for years 2-4, for scenario 2, are based on building s properties and several information sources (US/EU departments of energy) Scenario Year 1 [March 2014 February 2015] Year 2 [March 2015 February 2016] Year 3 [March 2016 February 2017] Year 4 [March 2017 February 2018] Scenario 1: Keeping the current level of energy performance (no increment of energy savings) [Amount returned ( ) of each building previous table] Scenario 2: Further increase of energy savings(increment of energy savings) [Amount returned ( ) of each building previous table] Energy savings estimation Energy savings estimation Energy savings estimation Projected savings using the two scenarios, for the four years

25 Return of investment future use Building Year 1 [March 2014 February 2015] Year 2 [March 2015 February 2016] Year 3 [March 2016 February 2017] Year 4 [March 2017 February 2018] Total after two years Total after four years B1 - Buttershaw Business/enterprise college 59, ,150-3,150 58,169 51,869 B17 - Università del Salento 3, ,500-2,500 2,418-2,582 B3 - Clinical centre of Vojvodina Novi Sad 7, ,350-4,350 6,718-1,982 B4 - Real estate management Wola Warsaw 1, ,500-2, ,316 B5 - Technical University of Warsaw 15, ,500-2,500 14,891 9,891 B6 - Marshall s office on Lodz region ,500-2,500-1,072-6,072 B7 - Soto del Real s Swimming pool -3,915 N/A N/A N/A N/A N/A B8 - Soto del Real s City Hall ,500-2, ,964 B9 - Social security directorate Zaragoza 23, ,350-5,350 22,472 11,772 B10 - Financial control unit Zaragoza -1,490 N/A N/A N/A N/A N/A B11 - Social security office 50/01 Zaragoza 2, ,350-4,350 1,460-7,240 B12 - Social security office 50/02 Zaragoza ,350-4, ,512 B13 - Social security office 50/03 Zaragoza ,350-4, ,317 B14 - Social security office 50/04 Zaragoza ,350-4, ,734 B15 - Social security office 50/05 Calatayud 2, ,350-4,350 1,924-6,776 B16 - Social security office 50/06 Zaragoza ,350-4, ,874 Energy savings prediction - scenario 1: keeping the current level of energy performance

26 Return of investment future use Building Year 1 [March 2014 February 2015] Year 2 [March 2015 February 2016] Year 3 [March 2016 February 2017] Year 4 [March 2017 February 2018] Total after two years Total after four years B1 - Buttershaw Business/enterprise college 59,044 8,043 5,545 5,328 67,086 77,959 B17 - Università del Salento 3, ,590-1,681 3, B3 - Clinical centre of Vojvodina Novi Sad 7,593 2,558-1,003-1,087 10,151 8,061 B4 - Real estate management Wola Warsaw 1,559 1, ,085 2,191 B5 - Technical University of Warsaw 15, ,603 14,900 B6 - Marshall s office on Lodz region , ,544 1,581 B7 - Soto del Real s Swimming pool -3,915 N/A N/A N/A N/A N/A B8 - Soto del Real s City Hall ,923-2, ,219 B9 - Social security directorate Zaragoza 23, ,293-4,320 23,556 14,943 B10 - Financial control unit Zaragoza -1,490 N/A N/A N/A N/A N/A B11 - Social security office 50/01 Zaragoza 2, ,422-3,515 2,492-4,445 B12 - Social security office 50/02 Zaragoza ,847-3, ,964 B13 - Social security office 50/03 Zaragoza ,365-3, ,335 B14 - Social security office 50/04 Zaragoza ,605-3, ,491 B15 - Social security office 50/05 Calatayud 2, ,049-3,179 3,370-2,858 B16 - Social security office 50/06 Zaragoza ,121-3,305 1,272-5,154 Energy savings prediction - scenario 2: Further increase of energy performance

27 Return of investment future use In both scenarios, it can be clearly seen that use of energy management software such as EMMOS can have great positive impacts on building energy performance and expenses for the period of at least two years This period can be even longer, if all of the suggested actions were (or will be) conducted

28 Conclusions

29 Conclusions The results indicate that considerable energy and carbon reductions have been achieved as a result of the deployment of EMMOS Taking into account all of the buildings that have participated on TEDS4BEE project, it is achieved an aggregate energy reduction of 15.35% which equates to 1,987,590 kwh/yr. This resulted in an overall aggregated annual carbon reduction of 11.8% which equates to 741,064 kg CO 2 /yr Funds saved are equal to 126,000, with the costs of implementation which amount to only 14,000

30 Conclusions It is easy to see huge benefits from such energy management software use, especially having in mind significant differences among the buildings (location, purpose, size etc.) and a number of parameters that need to be monitored in order to get the full picture about some facility With various reports and analysis, EMS saves significant time of its clients, leaving them only to choose the actions that are going to be conducted

31 Thank you for your attention

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