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Article

Development of a Sustainability Index for an Energy Management System in Thailand

Division of Energy Management Technology, School of Energy, Environment and Materials, King Mongkut’s University of Technology Thonburi, 126 Pracha Uthit Road, Bang Mod, Thung Khru, Bangkok 10140, Thailand
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Author to whom correspondence should be addressed.
Sustainability 2019, 11(17), 4587; https://doi.org/10.3390/su11174587
Submission received: 18 July 2019 / Revised: 17 August 2019 / Accepted: 20 August 2019 / Published: 23 August 2019
(This article belongs to the Section Economic and Business Aspects of Sustainability)

Abstract

:
The ISO 50001 energy management system (EnMS) standard was published in June 2011 and has been widely adopted by organizations from around the world, including Thailand. From 2014–2017, there was a continuous increase in the number of ISO 50001-certified companies in the East Asia and Pacific regions and, more broadly, the world, although this is not consistent with the number of companies that emerged during this period in Thailand. This information shows that the implementation of energy management in some companies may not be sustainable. This research offers a novel method for assessing the quality of energy management in the form of an energy management system sustainability index (EnMS SI) framework, presenting the economic, organizational, energy performance, and environmental aspects of sustainable energy management. Data collection, from a literature review of related research and the EnMS good practices, was implemented in order to select sustainability indicators and further develop a sustainability index for energy management. The analytic hierarchy process (AHP) and weighted arithmetic mean (WAM) were used to establish an EnMS SI. The study results were then assessed and validated using 31 ISO 50001-certified companies in Thailand. Direct interviews and questionnaires were used to obtain responses from energy management representatives. The studied data indicated that an EnMS SI framework can be used in qualitative analyses to effectively determine the sustainability of an EnMS. Significant sustainability indicators, consisting of continuous benefits, top management commitment, and long-term strategic planning, were found. The results also revealed that the EnMS in Thailand has been significantly economically weak. The EnMS SI framework is a tool for assessing energy management sustainability, which allows for the determination of an organization’s actual strengths and weaknesses. The benefits of this framework include the possibility of determining guidelines for correcting and improving the EnMS to achieve sustainability.

1. Introduction

An energy management system (EnMS) is an important tool adopted [1] in the industrial sector to improve efficiency [2] and to reduce costs such as in cement industy [3], the energy intensive industries in Turkey [4] and Taiwan [5], and in Serbian manufacturing [6], as well as in mitigating the environmental impact of climate change [7]. The use of fossil fuels for energy is still the major cause of environmental problems and climate change [8], especially in industrial production. The implementation of energy-efficient projects has had a direct impact on reducing costs in various industries, i.e., the cement industry in Colombia [3], China [9], and Taiwan [10], and pulp and paper [11], food [12], sugar [13], and foundry industries [14]. For example, operational guidelines associated with energy management, such as ANSI/MSE 2000:2008 [15], EN 16001 [16], and Carbon Trust (2011) [17], were employed to mobilize and improve energy efficiency. On 15 June 2011, the International Organization for Standardization (ISO) published ISO 50001 for energy management [18], which has since been widely adopted around the world [19]. With regard to energy management in Thailand, the Energy Conservation Promotion Act (No. 2) B.E.2550 (2007) [20] was issued to encourage energy efficiency in designated buildings [21] and designated factories [22] by the energy management procedure [23]. Information from a survey on the number of ISO 50001-certified organizations [19] is shown in Table 1. ISO 50001-certified organizations in Thailand were found to have increased from 10 in 2011 to 168 in 2014, although this figure subsequently decreased and increased alternately, which is inconsistent with the situation in the East Asia and Pacific regions and, more broadly, the world, which all show a continuous increase. This information indicates that, although a number of organizations are ISO 50001 certified each year, they do not maintain an effective energy management protocol or implement it sustainably. However, organizations with ISO 50001 certification are predicted to continually increase in the future [24].
There have been numerous studies on the significant barriers to energy efficiency in many countries. For example, a study on the main barriers to energy efficiency in Singapore-based industries revealed that a firm’s energy efficiency outcomes are not significantly related to its corporate social responsibility, regulatory compliance, and capacity to implement energy efficiency [25]. A study on the foundry industries of Finland, France, Germany, Italy, Poland, Spain, and Sweden revealed that almost half of these countries lacked a long-term energy strategy [26]. In Europe, numerous studies on the potential to implement long-term energy strategies revealed that the barriers to energy efficiency include a lack of information, procedural impediments, and lack of energy efficiency awareness [27]. In the Swedish iron and steel industry, the most important barriers relate to internal economics and behavior [28]. In Thailand, the most significant barrier to energy efficiency appears to be that management is more concerned with production and other matters, rather than energy efficiency [29]. However, it is quite difficult to ascertain which significant barrier actually causes some organizations in Thailand to stop adopting ISO 50001.
The first edition of the ISO 50001 standard [18] was published in 2011. Subsequently, in 2014, guidance for the implementation, maintenance, and improvement of an EnMS and the measurement and verification of energy performance (ISO 50004 [30], ISO 50006 [31] and ISO 50015 [32]) were introduced so that organizations could apply them effectively. The principle underlying these standards is the Plan–Do–Check–Act (PDCA) cycle. Many studies have proposed various guidelines to facilitate and develop an energy assessment methodology for ISO 50001 such as Chiu et al. (2012) [33], Gopalakrishnan et al. [34], and Kanneganti et al. [35]. In addition, an energy management maturity model [36] can be used to guide organizations in their energy management implementation efforts in order to incrementally achieve compliance with standards. The maturity model concept, introduced by Shewhart [37] and Crosby [38], uses grids for the economic control of quality [38]. A considerable number of studies have offered various guidelines for implementation, while the principles of the maturity model have been applied to assess the success of systems and processes, such as energy efficiency [39] and manufacturing [40]. An EnMS was applied to support implementation and assess success from the beginning of the process until certification (EMMM). O’Sullivan (2010) assumed that successful energy management could cause considerable savings in terms of energy, among other things, and provide future benefits, since the system would be rooted deeply in the process of business and operational management in an appropriate manner [41]. Later, Antunes et al. (2014) proposed an organizational guideline to allow energy management to be practiced, and measured the success by implementing the ISO 50001 standard [36]. Jovanovic and Fillipovic (2016) proposed a maturity model based on the PDCA cycle guideline, and integrated the requirements of ISO 50001 for energy management with the capability maturity model (CMMI), with the objective of using it as a tool to help organizations achieve a higher energy performance than the standard level (EMMM 50001) [42].
ISO 50001 is a process standard, not a performance standard [7]. Therefore, the assessment of certified energy management standards is considered the success of the process, according to the energy management requirements [43,44]. In the meantime, a study by Pham (2015) revealed that the adoption of ISO 50001 has quite a negative effect on the market. This result does not suggest that obtaining ISO 50001 is a bad investment [45]. To date, no guidelines can be used to measure the qualitative results of an EnMS and, thus, indicate its effectiveness and anticipated benefits in order to show the quality or sustainability levels of an organization’s EnMS. However, the second edition of ISO 50001 was published in August 2018 [46], based on the existing PDCA cycle guideline, but with a new clause arrangement, adding an analysis of the organizational context for consistency with ISO 9001 [47] and ISO 14001 [48]. This allows for a simple integration of management systems, in line with the organizational business strategy. However, this study does not include the implementation or adoption of the new version of the standard by organizations.
The concept of an EnMS sustainability index (SI) refers to “Our Common Future” published by the WECD, which offers a definition of sustainable development as that which “meets the needs of the present without compromising the ability of future generations to meet their own needs” [49]. This fundamental requirement was the starting point for developing concepts for the implementation of sustainability initiatives [50]. Sustainability is a paradigm, with different implementations and interpretations in various fields [51], such as the energy system [52], automotive industry [50], waste to energy system [53], renewable energy projects for energy and sanitation devices [54], and local communities [55].
In this context, the sustainability index is introduced as an agglomerated indicator for the measurement of quality in an EnMS [56]. This proposed criterion for EnMS sustainability reflects the economic, organizational, energy performance, and environmental aspects of sustainable energy management. Indicators are considered within activities, under the control of an organization [18,46], involving the relationship between the effectiveness of an EnMS, business strategy integration, and environmental connectivity [7]. The significant barriers to and drivers of the improvement of energy efficiency, such as a gap analysis between industrial needs and scientific literature [57], the driving forces for improved energy efficiency in the foundry industries [26], the barriers and drivers to energy management practice in the Swedish iron and steel [28] and foundry industries [58], indicate the sustainability of the qualitative criteria in the assessment of an EnMS, according to the following aspects, shown in Table 2.
• Economic Aspect
The internal economics [28] associated with energy efficiency, such as investment and returns [7], can be measured by their impact on competitive advantage, triggered by the related costs [25]—for example, the benefit uncertainty [1], the financial support for energy management activities [4], and the limited to access to capital [58].
• Organizational Aspect
An EnMs involves a top-down approach. Therefore, the commitment of top management [18,46], energy policy [59], and long-term strategic planning [58,59] are key indicators of its effectiveness and sustainability, and consideration should also be devoted to power delegation [4] and resource provision [18,46]. This will help to support an EnMS by reflecting the awareness culture [27], behavior [28], and participation of personnel [25,58] in the implementation of organizational energy efficiency for long-term sustainability.
• Energy Performance Aspect
The continuous improvement of energy performance is a required outcome of the ISO 50001 standard [18,46]. Thus, the qualitative efficiency of the process, including energy planning [18,31,46], implementation and operation [18,30,46], and performance evaluation [32,46], has a significant impact on organizational energy performance.
• Environmental Aspect
Tangible outcomes of the integration of the environmental [48,60] and energy management processes [61] are considered in terms of waste management, resource reduction for low carbon [62], and climate change mitigation [24]. The activities that come under the control of an organization, excluding product design [46], such as eco-design [63], are considered in this context.
This paper proposes the development of an EnMS SI framework for assessing the quality and sustainability of energy management. Indicators that have a direct impact on energy performance are applied, using the AHP method and then evaluating the EnMS SI of each organization. This enables the evaluator to predict the potential sustainability of a current organizational EnMS and analyze its strengths and weaknesses. Important information for strategic decision-making to improve these systems and achieve sustainability can then be obtained.

2. Methods

The establishment of an EnMS SI can be divided into two major parts: The development of an EnMS SI framework and the application of that framework to assess ISO 50001-certified industries in Thailand for more than one year. The main objective of an EnMS SI is to provide comprehensive and highly scalable information-driven architecture for assessment [64]. The process, used to develop an EnMS SI framework, is shown in Figure 1 [50,55,64].

2.1. Selection and Quantification of Basic Sustainability Indicators

The basic indicators of EnMS sustainability are the assessment tools for identifying its performance and trends, providing early warning information that supports decision-making [50]. The selection of sustainability indicators is based on the data collection of process factors and associated outcomes, which directly relate to organizational energy efficiency and EnMS effectiveness. The results of energy performance data analysis (Carbon Trust 2011 [17], ISO 50001 [18], ISO 50004 [30], ISO 50006 [31], ISO 50015 [32]) include those obtained from a literature review of related research on maturity model assessment [36,41,42] and study results concerning the impact of the main barriers and drivers on energy efficiency and energy management [1,4,25,26,27,28,29,57,58,59]. Both qualitative and quantitative indicators are available, as well as cover indicators, which can measure the qualitative results of the energy management process in organizations, starting with the input process indicator, work-in-process indicators, output process indicators, and outcome indicators.
Since the selected basic sustainability indicatiors (BSIs) have different dimensions, it is necessary to quantify them as non-dimension variables using the indicator value scale, 1, 2, 3 [64,65]. The qualitative value is assessed to obtain the quantitative value in the scoring of each indicator, and when the indicator values are in the same unit, normalization is not required. Here, the scoring criteria is determined using scales:
ScaleMeaning
3Strong/excellent/maximum
2Good/satisfactory/medium
1Weak/unsatisfactory/minimum

2.2. Determination of the Indicator and Aspect Weights

In this paper, the analytic hierarchy process (AHP) methodology is used to obtain the indicator weights, and a case study, performed to illustrate the application of the suggested EnMS SI [50,64,66], is presented. The AHP method, developed by Saaty [67], involves the following steps.
(1)
Individual comparison matrices are collected from a questionnaire survey. The questionnaire survey is designed to produce individual comparison matrices by relevant experts in the field, as shown in Table 3.
(2)
After constructing the preference matrix, the weights can be calculated using the maximum eigenvalue vector method (MEVM) [64,68]. In order to validate the reliability of the AHP model, a consistency ratio is used to measure the comparison matrix. To calculate the consistency index (CI), the deviation from consistency is given as [64,68]:
C I = λ m a x n n 1
where λmax is the maximum eigenvalue of the comparison matrix, n. There are n rows and n columns in a comparison matrix.
(3)
The random index (RI) is identified for consistency. The RI is provided by Saaty [67].
(4)
The consistency ratio (CR) is calculated.
The CR is calculated by Equation (2). Saaty stated that a CR of less than 0.1 is acceptable [67].
CR = CI RI

2.3. Sustainability Index Construction

To establish the sustainability index in order to obtain a final numerical result [64], the weighted arithmetic mean (WAM) method is used to aggregate the indicators into the indices. A linear agglomeration function is given in Equation (3).
Q (q; w) = m∑ wiqi
i = 1
where qi is the value of the i-th indicator, and wi is the weight of the i-th indicator.
A hierarchical scheme for the EnMS SI is shown in Figure 2. Figure 2 shows the economic (SI1), organizational (SI2), energy performance (SI3), and environmental (SI4) aspects, represented by the economic general indicators (GI1,1 … GI1,m) and basic indicators (BI11,1…. BI1m,n), organization general indicators (GI2,1 … GI2,m) and basic indicators (BI21,1…. BI2m,n), energy performance general indicators (GI3,1 … GI3,m) and basic indicators (BI31,1…. BI3m,n), and environmental general indicators (GI3,1 … GI3,n) and basic indicators (BI41,1…. BI4m,n) [50], respectively.
For each company (A), the values of the EnMS sustainability index (SIEnMS) is calculated by aggregating the corresponding basic indicators, general indicators, and each considered aspect, according to the following equations: Equations (5)–(7):
( GI i , m ) A   =   f [ WB i 1 , 1 × ( BI i 1 , 1 ) A ,   ,   WB i 1 , n × ( BI i m , n ) A ]
where:
  • (GIi,m)A is the value of the general indicator m, according to the EnMS sustainability aspect i for company A;
  • (BIim,n)A is the value of the basic indicator n, corresponding to the general indicator m and associated with the EnMS sustainability aspect i for company A; and
  • WBim,n is the weight of the basic indicator n for the general indicator m, associated with the EnMS sustainability aspect i.
( SI i ) A   =   f [ WG i , 1 × ( GI 1 , 1 ) A ,   ,   WG i , m × ( GI i , m ) A ]
where:
  • (SIi)A is the value of the EnMS sustainability aspect i for company A;
  • (GIi,m)A is the value of the general indicator m, corresponding to the EnMS sustainability aspect i for company A; and
  • WGi,m is the weight of the basic indicator m, corresponding to the EnMS sustainability aspect i.
(SIEnMS)A = 4∑ Wi(SIi)A
i = 1
where: (SIEnMS)A is the value of the EnMS sustainability index for company A, assuming values between 1 (less sustainable) to 3 (extremely sustainable). (SIi)A is the value of the quality of each EnMS sustainability aspect for company A, and Wi is the weight of each considered aspect.

2.4. Industry Sampling for Framework Validation

In order to verify the developed EnMS SI framework, questionnaires were used to assess the sustainability of indicators in the sampled companies (at least one year of certification with ISO 50001). The values obtained from the assessment were then calculated to achieve the EnMS SI of each company, with the outcomes analyzed and discussed accordingly.

3. Results

The implementation of the study outcomes and development of a framework in accordance with the process determined in Section 2 are shown below.

3.1. Selection and Quantification of the Basic Sustainability Indicators

The study and collection of the basic sustainability indicators follows the procedures mentioned earlier. Incidentally, a review of the process by eight specialists in the ISO 50001 field from public agencies, education institutions, professional associations, and the industrial sector, with direct experience of the ISO 50001 standard, was made possible by holding a focus group meeting to select 30 indicators for assessing EnMS SI, as detailed in Table 4.

3.2. Determination of Indicator Weights

The AHP model was employed to assess the level of significance or indicator weights that have an impact on the EnMS SI criteria and aspects [50,63,64,68]. Individual comparison matrices were collected from the questionnaire survey by 15 experts from selected ISO 50001-certified companies. The analysis results are shown in Table 5; Table 6. It can be seen that the significance or weight of the economic and organizational aspects are relevant, and they are found to have a high-level impact on EnMS sustainability, at 31% and 33%, respectively. This is followed by the energy performance aspect, at 23%, and the environmental aspect, at 13%. Considering the following analytic hierarchy, the continuous benefit is shown to be the most important economic aspect, with a weight as high as 56%. With regard to the organizational aspect, commitment is the most important factor, with a weight of 60%. As for the analytic hierarchy of the commitment criteria, significant indicators are top management commitment and long-term strategic planning, with relevant weights of 48% and 41%, respectively. In terms of the organizational criteria, culture, and behaviors, the significant indicators are embedding EnMS property into the business process and motivation and rewards, respectively. Energy planning is the most important factor of the energy performance aspect, with a weight of 55%. According to the analytic hierarchy, significant indicators in this group are the energy used, the energy audit program for SEUs, and the management review, monitoring, and analysis. In relation to the environmental aspect, the environmental standard is given the highest significance, with a weight of 55%, but considering the bigger picture, of all the indicator weights impacting on the EnMS, the most significant indicators are continuous benefits, top management commitment, and long-term strategic planning.

3.3. Survey and Assessment of Sustainability Indicators with a Sample

In order to employ the above-mentioned framework in assessing the sustainability index of each company, questionnaires were used for interviewing energy management representatives (EnMR) or other persons in companies related to energy management. The questionnaires for the qualitative assessment of basic indicators are shown in Table A1 of the Appendix A. The results obtained from workplace assessments are calculated in the EnMS SI.
The questionnaire and interview data were collected and analyzed from the end of 2017 to the beginning of 2019. The questionnaires were sent to 108 companies in Thailand that had held an ISO 50001 certification for at least one year. The assessment of qualitative score levels for each basic indicator requires the evaluator’s understanding and an appropriate amount of supportive data. As a result, a great deal of time was spent responding thoroughly to the questionnaires. The questionnaires from 31 companies were returned, accounting for 28% of the companies engaged. The questionnaires were distributed to the types of industries shown in Figure 3.
The data obtained from the primary survey of 31 companies indicate that the main drivers of the adoption of ISO 50001 in an organization were the requirement of top management to reduce energy costs, followed by increasing the organization’s competitive advantage, and the operation being in accordance with the company’s environmental mission. This is consistent with previous research studies, in that internal drivers are shown to have a greater influence on the motivation to adopt ISO 50001 than external drivers [1]. The scores for 30 indicators, from the assessment of 31 companies, are shown in Table A2 in the Appendix A.

3.4. Index Construction

The assessment results for 30 sustainability indicators in 31 companies, together with the indicator weights obtained through the AHP, were applied to evaluate the aggregate value of sustainability indicators using the weighted arithmetic mean (WAM) method. The mean of sustainability indicators for each aspect is shown in Figure 4, and the calculation results for the aggregate value of the four aspects and the EnMS SI are shown in Table A3 in the Appendix A. The broader context of the EnMS SI for 31 companies can be more clearly seen in Figure 5.

4. Discussion

The main objective of this research was to develop a new method for assessing the quality of energy management in the form of an EnMS SI, using qualitative score levels as sustainability indicators which directly impact on the energy performance of ISO 50001-certified companies. The framework proposed here can be used as a tool to assess the quality, sustainability, and impact of an organizational EnMS, and the results were applied to achieve sustainability and optimal benefits in business operations. The quality levels of 30 sustainability indicators are shown in Figure 4, enabling consideration to be devoted to the quality of each process or the current indicators of an organizational EnMS, which are presented, in this study, in the form of mean values for 31 companies. The indicators of the economic aspect range from 1.94–2.06, which is the lowest mean, followed by the culture and behavior criteria of the organization aspect, which range from 2.23–2.35. Considering the broader context and applying the assumption that all 31 companies meet the ISO 50001 standard for factories in Thailand, it can be concluded that the weak points of the EnMS ISO 50001 standard in Thailand are internal economics and the culture and behaviors, and this is in accordance with previous studies on energy efficiency projects in other countries [28,58,59].
The results concerning the quality score levels of the activities and processes based on each indicator are shown to be comparable to the Energy Management Maturity Model (EM3) and the Energy Management Maturity Model based on ISO 50001 (EMMM50001) [36,41,42]. The assessment results, which are in accordance with EMMM50001, show an increase in the score levels during each EnMS process, based on the PDCA cycle guideline, from the EnMS establishment to the energy management review. The scores ranged from 1 to 5, depending on the advancement levels of the process (Level 1: Initial to Level 5: Optimized), provided that the levels of importance of the processes were equal [42]. However, the EnMS SI framework provides a more in-depth assessment of the quality and effectiveness of the indicators in each process of energy management and related areas (reducing the environmental impact, waste, and resources), thereby affecting organizational energy performance. From Figure 5, it can be seen that the EnMS SI obtained from the quality assessment of indicators, in conjunction with the aggregate weight values, has a significant impact on energy management sustainability, when considering the current status of each company. Seven companies have a sustainability index lower than 2.0, with company 18 exhibiting the lowest. Among these, companies 13, 15, 18, and 21 have quite a low score level in terms of the economic aspect. In contrast, nine companies have a sustainability index higher than 2.5, and company 16 has the highest. Based on the score levels for each aspect, the findings indicate that all companies in this group have a significantly high score for the economic aspect.
While the EnMS SI framework seems to have a positive bias when applied to assess energy-intensive industries, these industries are considered to have a greater need for energy management implementation than others due to the effect of cost-based competition. Conversely, in industries such as hospitality, the EnMS SI framework is designed within the context of ISO 50001-certified organizations. Therefore, these differences are mostly compensated by the certification process of energy management [43,44]. However, ISO 50001 is a process standard, not a performance standard [7], and confirms the effectiveness of successful energy management and its intended outcomes [46], for which the EnMS SI framework already proposes outcome indicators, such as continuous benefits, long-term strategic planning, participation in energy-saving activities, etc. The limitations of this study involve the deviation of results, including the understanding and knowledge of the evaluators, as well as the weak economic conditions of the organizations involved, and the fact that this framework can only be applied to ISO 50001-certified companies in Thailand.

5. Conclusions

The EnMS SI framework proposed in this study can be applied to—and confer benefits on—all organizations in both the industrial and service sectors through the self-assessment of the EnMS quality aspects using the BSI questionnaire, as shown in Table A1. The scale (1, 2, 3) of each BSI is used to evaluate the quality of the EnMS SI in each organization. In this regard, evaluators can predict the current sustainability potential of an EnMS and analyze its strengths and weaknesses. Additionally, they can employ this important information in the process of strategic decision-making for improvement and sustainability. In the future, the developed index could be promoted by constructing a decision support system (DSS) to increase the impact of sustainable energy management [70]. This framework would enhance any companies adopting ISO 50001 in Thailand, increase their number and maintain sustainability. The high quality of ISO 50001 will help organizations to achieve a continuous energy performance improvement and return the benefits to companies, interested parties, and the world. It will also reduce the environmental impact, carbon dioxide emissions, and the problems caused by climate change [7,24,61,62].
While a second addition of ISO 50001 was published in August 2018 [46], the EnMS SI framework can still be applied, since the standard requirements and PDCA process remain the same. The new edition requires that organizations implement and operate their energy management and business process consistently and apply the analyzed results to energy planning. In a case where the second edition of ISO 50001 has been applied for a while, and an organization decides to stop implementing the standard, it is essential to examine the main reasons for such a decision. This is because, in addition to the internal economic problems identified in this study, there may be other causes that have a significant effect on decision-making, and guidelines on formulating a policy to promote energy management in Thailand in the future are needed.

Author Contributions

V.N. and K.K. were involved in the data collection and pre-processing phase, focus group meeting, model construction, empirical research, results analysis and discussion, and manuscript preparation. All authors have approved the final manuscript.

Funding

This research received no external funding.

Acknowledgments

The researchers would like to thank King Mongkut’s University of Technology Thonburi for the eight experts who contributed to the focus group meeting and the EnMR of 31 companies in Thailand for supporting this research.

Conflicts of Interest

The authors declare no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Appendix A

Table A1. Questionnaire of 30 basic indicators used in the evaluation of an EnMS (ISO 50001-certified company).
Table A1. Questionnaire of 30 basic indicators used in the evaluation of an EnMS (ISO 50001-certified company).
Basic IndicatorsEvaluationScale
Continuous benefitsLevel of satisfaction regarding continuous benefits from the energy management project
  • Specific benefits are available when an energy-saving measure is implemented.
1
  • Continuous benefits are available and can be measured to a moderate degree (1–3% per year).
2
  • Continuous benefits are available and can be measured to a high degree (greater than 3% per year).
3
Energy cost proportionAssessment of the impact on the cost of energy for the organizational competitive advantage
  • There is a low-level impact on the organizational competitive advantage, or energy costs are not greater than 2% of the total costs of the organization.
1
  • There is a moderate-level impact on organizational competitive advantage, or energy costs are not greater than 5% of the total costs of the organization.
2
  • There is an extremely high-level impact on organizational competitive advantage, or energy costs are greater than 10% of the total costs of the organization.
3
EE project investment Percentage of investment in energy-saving projects, compared to all organizational investments per year
  • Lower than 1% of all investments.
1
  • Accounting for 1–2% of all investments.
2
  • Greater than 2% of all investments.
3
EE investment procedureCriteria used when considering investment in energy conservation projects
  • Criteria used for a short payback period (no more than one year).
1
  • Criteria used for a long payback period (three to five years).
2
  • Criteria used when considering energy-saving projects in relation to other organizational investments, such as % IRR. (Internal rate of return)
3
Top management commitmentTangible commitment by top management to implementing energy efficiency to achieve success
  • Documentary commitment from top management is available.
1
  • Documentary commitment from top management is available and evidenced by occasional activities.
2
  • Evidence is available to show a regular and tangible implementation of activities in response to a top management commitment.
3
Long-term strategic planningPreparation of long-term strategic planning associated with energy performance and management
  • No energy strategies or work plans are available from year to year.
1
  • Strategic energy plans are available for up to three years.
2
  • Long-term strategic energy plans are available for more than three years.
3
Energy policyOrganizational energy policies and energy targets
  • A documentary energy policy is available, but without significant content on operational or implementation strategies.
1
  • A documentary energy policy is available, with significant content on operational or implementation strategies, such as long-term energy goals.
2
  • A documentary energy policy is available, with significant content on operational or implementation strategies, such as long-term energy goals, which top management and employees acknowledge and put into practice.
3
EnMS properly embedded into the business processConnectivity exists between energy management and the organizational business process
  • No connectivity exists between energy management and the organizational business process.
1
  • Connectivity exists between energy management and the organizational business process, but with no significant energy performance.
2
  • Implementation of the business process in all organizational activities is significantly connected with energy management.
3
Energy management and power delegationAuthorized energy management delegates or delegates with the power to implement energy management in an effective manner
  • Energy management delegates are documentarily authorized, but their power is not obviously specified.
1
  • Energy management delegates are documentarily authorized, and their power is obviously specified but does not comprehensively cover the main activities affecting the organizational energy performance.
2
  • Energy management delegates are documentarily authorized, and their power is obviously specified and comprehensively covers the main activities affecting the organizational energy performance. This is communicated to employees of all levels, and their acknowledgment is obtained.
3
Resource provisionProvision of the essential resources for the implementation of organizational energy management
  • No evidence is available in relation to the provision of essential resources for the implementation of the organizational energy management.
1
  • Provision of personnel and budget support training is sufficient.
2
  • Budget support for implementing an energy conservation measure is appropriately provided, with the necessity to allocate resources for energy management reviewed annually.
3
The efficiency of the performance of staff in handling energy managementProportion of staff assigned to take responsibility for considering energy performance and its significant effect on energy consumption characteristics
  • Less than 10% of staff are responsible for considering energy performance.
1
  • From 11 to 30% of staff are responsible for considering energy performance.
2
  • More than 30% of staff are responsible for considering energy performance.
3
Motivation and rewardsMotivational activities and rewards for enhancing participation in the implementation of energy management
  • No tangible motivational activities or rewards associated with energy management are available for personnel.
1
  • Tangible motivational activities or rewards associated with energy management are occasionally available for personnel.
2
  • Tangible motivational activities or rewards associated with energy management are regularly available for personnel.
3
Participation in energy-saving activities Staff participation in energy-saving activities
  • Less than 10% of staff participate in an energy-saving measures.
1
  • From 11 to 30% of staff participate in an energy-saving measures.
2
  • More than 30% of staff participate in an energy-saving measures.
3
Innovation for energy conservationImplementation or innovation activities related to energy conservation
  • No innovation or implementation activities related to organizational energy conservation are available.
1
  • Innovation or implementation activities related to organizational energy conservation are hidden in other organizational activities.
2
  • Direct innovation or implementation activities related to organizational energy conservation are regularly available each year.
3
Communication and internal networkingCommunication and networking or participatory activities related to energy management or energy conservation within the organization
  • Communication is available but does not involve network-building or activity groups related to energy conservation.
1
  • Communication and energy conservation activity groups are available in some agencies, with direct responsibility for energy management only.
2
  • Communication and networking are available for a small energy conservation group, which covers the whole organization.
3
Significant energy useProportion of significant energy use, compared to the total energy consumption
  • The amount of energy consumption in the SEU area is less than 50%, compared to the total energy consumption.
1
  • The amount of energy consumption in the SEU area is 50–70%, compared to the total energy consumption.
2
  • The amount of energy consumption in the SEU area is more than 70% of the total energy consumption.
3
Energy audit program for SEUsWork plans and an assessment of the energy efficiency of the process and machines of SEU
  • Work plans and an energy efficiency assessment are not available for the process and machines of SEU.
1
  • Work plans or an energy efficiency assessment are available for some parts of the process and machines of SEU.
2
  • Work plans or an energy efficiency assessment comprehensively cover the process and machines of SEU in a continuous manner.
3
Energy performance improvement proceduresProcedures for improving energy performance
  • Documentary operation regulations or procedures are available for improving energy performance.
1
  • Operation regulations or procedures are occasionally available and put into practice for improving energy performance.
2
  • Operation regulations or operation procedures are regularly available and put into practice for improving energy performance.
3
Effective EnPIs Energy performance indicators for SEUs
  • Energy performance indicators (EnPIs) are specifically available for the total organizational energy consumption, but they do not comprehensively cover SEUs.
1
  • Energy performance indicators (EnPIs) for the organization are available and comprehensively cover SEUs, but the measurement of energy performance is not effective.
2
  • Energy performance indicators (EnPIs) for the organization are available and comprehensively cover SEUs, and they can measure energy performance in an effective manner.
3
Preventive maintenance for SEUsThe implementation of preventive maintenance in relation to energy performance and the characteristics of significant energy consumption
  • Work plans and operation methods for preventive maintenance in relation to energy performance and SEU are documented and partially available.
1
  • Work plans and operation methods are available for preventive maintenance in relation to energy performance, covering the processes and machines in the SEU area.
2
  • Work plans and operation methods for preventive maintenance in relation to energy performance are available, covering processes and machines in the SEU area, with continuous and effective operational evidence.
3
Operational control procedure for energy savingImplementation procedures for controlling operations in relation to energy performance
  • Regulations for implementing operational control in relation to energy performance are documented and partially available.
1
  • Regulations for implementing operational control in relation to energy performance are documented and available, covering all SEUs.
2
  • Regulations for implementing operational control in relation to energy performance are documented and available, covering all SEU organizations, with continuous and effective operational evidence.
3
Regulatory complianceImplementation in relation to energy laws and other requirements, with which organizations must conform
  • Partial or complete implementation is carried out in accordance with energy laws in the form of documentation.
1
  • Complete implementation is carried out in accordance with energy laws.
2
  • Complete implementation is carried out in accordance with energy laws and other environmental requirements.
3
Staff engagement and competence trainingNecessity for competence training in relation to energy management and performance
  • Competence training in relation to energy management and performance is provided for some staff but does not cover the SEU area.
1
  • Competence training in relation to energy management and performance is provided for staff and covers the SEU area.
2
  • Competence training in relation to energy management and performance is provided for staff and comprehensively covers all organizational areas.
3
Design and procurement proceduresDesign and procurement procedures that indicate energy performance
  • Design and procurement procedures that indicate the energy performance of particular equipment are available, with no significance.
1
  • Design and procurement procedures that indicate energy performance are available, covering energy equipment with absolute significance.
2
  • Design and procurement procedures that indicate energy performance are available, and they comprehensively cover energy equipment with absolute significance and provide evidence of effective implementation, such as a record of confirmatory results after delivery.
3
Management reviewThe review of energy efficiency by top management
  • A review of energy efficiency by top management is available in the form of documentation.
1
  • An annual review of energy efficiency by top management is available, covering all activities.
2
  • More than one review per year of energy efficiency by top management is available, covering all activities, with tangible improvement results.
3
Monitoring and analysisMonitoring and analysis of key energy characteristics and performance in organizations
  • Monitoring and analysis of the organizational energy consumption and performance are partially available.
1
  • Monitoring and analysis of the organizational energy consumption and performance are available, completely covering the characteristics of significant energy consumption.
2
  • Monitoring and analysis of the organizational energy consumption characteristics and performance are available, completely covering the characteristics of significant energy consumption, with evidence of effective implementation.
3
Verification procedure for energy performance Effective verification of energy saving
  • No processes or regulations are available for the verification of annual energy performance improvement.
1
  • Processes or regulations for the verification of energy performance improvement are available in the form of documentation but have not yet been seriously put into practice.
2
  • Processes or regulations for the verification of energy performance improvement are available in the form of documentation and are put into practice regularly and effectively.
3
Environmental standardAdopting and putting an environmental management standard into practice within an organization
  • No environmental management standard has been adopted and put into practice within the organization.
1
  • An environmental management standard has been adopted and put into practice in some areas of the organization.
2
  • An environmental management standard has been adopted and put into practice in the whole organization.
3
Waste managementWaste management within the organization in relation to production and energy consumption
  • No waste management process or energy reuse procedure is available.
1
  • There is a waste management process or energy reuse procedure in some areas of the organization.
2
  • There is a waste management process and energy reuse procedure, covering the whole organization.
3
Resource reductionThe implementation of resource reduction within the organization
  • No resource reduction is implemented within the organization.
1
  • Resource reduction within the organization is implemented, but an assessment of its effectiveness of activities is not available.
2
  • Resource reduction within the organization is implemented, and an assessment of its effectiveness by an external agency or organization is available.
3
Table A2. Scores for 30 basic indicators in the assessment of 31 companies.
Table A2. Scores for 30 basic indicators in the assessment of 31 companies.
Company12345678910111213141516171819202122232425262728293031
Sustainability IndicatorScale 1, 2 and 3.MeanStd. Deviation
Continuous benefits12222222222313132113123132312322.000.73
Energy cost proportion22323121322113132122111323321221.940.77
EE project investment12323323123113131223221313231312.060.85
EE investment procedure33122222222112122321123223322232.030.66
Top management commitment33223232223323333233222333233332.610.50
Long-term strategy plan22122233112332132123223333232322.230.72
Energy policy23323233323323333333322333333332.770.43
EnMS properly embedding in to business process33333233233333233223223333222222.610.50
Energy manager and power delegation33333333223333333333322333333332.870.34
Resource provision32232233213333333123323333233322.580.62
Performance of staff in handling energy management11313333223212133123213323111312.060.89
Motivation and rewards21133233213312333123222232232332.290.74
Energy-saving activities participation21333333223312333223112233112322.290.78
Innovation for energy conservation21212223123223323223222233232322.230.62
Communication and internal networking21233232223222232223323233233222.350.55
Significant energy use13333121322113133231222333232332.260.82
Energy Audit program for SEUs23333233233333333233222333333332.770.43
Energy performance improvement procedure23333233233223333223223333332332.680.48
Effective EnPIs23233133222223323223322233232322.420.56
Preventive Maintenance for SEU32333133132223333223322233233332.550.62
Operational control procedure for energy-saving22233233133223333223322333233332.580.56
Regulatory Compliance33333333333323333333333333333332.970.18
Staff engagement and competence training23333233233323333223322333333332.740.44
Design and procurement procedure13233133132332323223223333333222.480.68
Management review22233322232222233222223222223222.260.44
Monitoring and Analysis13333223233323333323322233333332.680.54
Verification procedure for Energy performance23333333233323233223223332332332.680.48
Environment standard33222323133333333322333333333332.740.51
Waste management21333323232122123223122333331322.290.74
Resource reduction22333333122323323222333333333322.610.56
Table A3. EnMS SI and the four aspects in 31 companies.
Table A3. EnMS SI and the four aspects in 31 companies.
CompanyEconomicOrganizationalEnergy PerformanceEnvironmental DimensionEnMS SI
Company 10.430.810.430.332.00
Company 20.640.750.630.302.32
Company 30.720.640.620.322.31
Company 40.620.760.690.322.39
Company 50.740.890.690.322.63
Company 60.570.700.430.392.08
Company 70.620.980.610.292.50
Company 80.570.890.580.392.43
Company 90.670.590.480.161.91
Company 100.620.560.630.362.17
Company 110.650.910.580.332.48
Company 120.660.970.510.332.46
Company 130.310.740.470.331.85
Company 140.910.840.660.362.77
Company 150.310.780.570.331.99
Company 160.910.980.670.332.89
Company 170.590.900.690.392.57
Company 180.380.560.490.331.76
Company 190.450.790.560.262.06
Company 200.810.990.580.292.67
Company 210.340.700.540.331.92
Company 220.530.630.470.362.00
Company 230.690.800.530.362.38
Company 240.570.920.610.392.50
Company 250.760.980.660.392.80
Company 260.760.960.660.392.76
Company 270.900.670.570.392.53
Company 280.480.910.660.392.44
Company 290.500.810.600.332.24
Company 300.830.960.660.392.83
Company 310.610.820.640.332.39
Mean0.620.810.590.342.36
Std. deviation0.170.130.080.050.32
Minimum0.910.990.690.392.89
Maximum0.310.560.430.161.76

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Figure 1. Development strategies for an EnMS sustainability index (SI).
Figure 1. Development strategies for an EnMS sustainability index (SI).
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Figure 2. Hierarchical scheme for the EnMS SI.
Figure 2. Hierarchical scheme for the EnMS SI.
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Figure 3. Proportion of companies, categorized by the type of industry.
Figure 3. Proportion of companies, categorized by the type of industry.
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Figure 4. The mean of the basic sustainability indicators from 31 companies.
Figure 4. The mean of the basic sustainability indicators from 31 companies.
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Figure 5. Score levels for the four aspects and the EnMS SI of 31 companies.
Figure 5. Score levels for the four aspects and the EnMS SI of 31 companies.
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Table 1. The number of organizations in Thailand with ISO 50001 certification from 2011–2017.
Table 1. The number of organizations in Thailand with ISO 50001 certification from 2011–2017.
Year2011201220132014201520162017
The World45922364826676511,98520,21621,501
East Asia and the Pacific49191478693103520862516
Thailand1041132168138255216
Table 2. Energy management system (EnMS) conceptual sustainability aspects.
Table 2. Energy management system (EnMS) conceptual sustainability aspects.
AspectEconomicOrganizationalEnergy PerformanceEnvironmental
CriteriaInvestment and returnsCommitmentEnergy planningEnvironment impact
Organizing abilityImplementation and operation
Culture and behaviorsPerformance evaluation
Table 3. Pairwise comparison of the analytic hierarchy process (AHP).
Table 3. Pairwise comparison of the analytic hierarchy process (AHP).
CriteriaABCD
A1X12X13X14
B1/X121X23X24
C1/X131/X231X34
D1/X141/X241/X341
A, B, C, and D are the indicators, and X12, X13, and X14 are compared to the value of the pairs AB, AC, and AD, respectively. The value is obtained from a basic range of absolute numbers in order to capture human perceptions regarding qualitative and quantitative attributes. The questionnaire is designed using the nine-point method, recommended by Saaty [67], and conforms to the paired comparison requirement of the AHP method, based on the final indicator list [64,66]. The values refer to the nine-point method, recommended by Saaty [67].
Table 4. Basic EnMS sustainability indicators.
Table 4. Basic EnMS sustainability indicators.
AspectGeneral IndicatorBasic IndicatorDefinition
Economic Investment and returns [4,25,28,29]BI11,1 Continuous benefitContinuous benefit of an energy efficiency project.
BI11,2 Energy cost proportionProportion of energy costs, reflecting the competitive advantage of an organization.
BI11,3 Energy efficiency project investment Proportion of investment in an energy efficiency project, compared to the total investment of an organization.
BI11,4 EE investment procedureProcedure and criteria for decision-making relating to investing in an energy efficiency project.
OrganizationalCommitment [18,25,26,29,30,46,58,59]BI21,1 Top management commitmentTangible top management commitment to implementing an EnMS.
BI21,2 Long-term strategic planning Long-term strategic planning for efficient energy management.
BI21,3 Energy policyPolicies and targets for organizational energy management.
Organizing ability [4,18,27,30,46,57]BI22,1 EnMS properly embedded into the business processRelation and connectivity of energy management systems and the business operation process of organizations.
BI22,2 Energy management and power delegationAuthorizing an energy manager or energy delegate to operate energy management in an effective manner.
BI22,3 Resource provisionPreparation of the resources necessary for the operation of organizational energy management.
BI22,4 Staff can perform efficiently in handling energy managementProportion of employees assigned to take responsibility for the operation in order to create an impact on energy performance in the SEU area.
Culture and behaviors [18,25,27,28,30,46,58,59]BI23,1 Motivation and rewardsMotivational activities and rewards that support participation in the implementation and operation of energy management.
BI23,2 Participation in energy-saving activities Employee participation in activities associated with energy saving.
BI23,3 Innovation for energy conservationInnovation associated with energy conservation in an organization.
BI23,4 Communication and internal networkingCommunication and network building or participatory activities in energy management or energy conservation within an organization.
Energy performanceEnergy planning [18,26,30,31,46]BI31,1 Significant energy use(SEU)Proportional energy consumption of SEU, compared to the total.
BI31,2 Energy Audit program for SEUsEnergy performance auditing program of processes and machines for SEU.
BI31,3 Energy performance improvement procedureProcedure and criteria for energy performance improvement.
BI31,4 Effective EnPIs Determination of energy performance indicators (EnPIs) that appropriately and comprehensively cover significant energy consumption characteristics.
Implementation and operation [18,30,46]BI32,1 Preventive maintenance for SEUImplementation of preventive maintenance associated with energy performance in the SEU area.
BI32,2 Operational control procedure for energy savingImplementation process for the operational control associated with energy performance.
BI32,3 Regulatory complianceImplementation associated with legal issues and other energy requirements applicable in an organization.
BI32,4 Staff engagement and competence trainingCompetency-based training associated with energy management and performance.
BI32,5 Design and procurement procedureDesign and purchasing process of energy in consideration of energy performance.
Performance evaluation [18,32,46]BI33,1 Management reviewReview of the energy management system by top management.
BI33,2 Monitoring and analysisMonitoring and analysis of the key characteristics of organizational energy performance.
BI33,3 Verification procedure for energy performance Verification procedure for energy saving and effective energy performance.
Environmental Environment impact [7,48,69]BI41,1 Environmental standardBringing environmental management standards into practice in an organization.
BI41,2 Waste managementOrganizational waste management associated with energy production and consumption from waste.
BI41,3 Resource reductionImplementation and operation of an energy management system to minimize organizational resources.
Table 5. Determination of the weight of the four aspects of EnMS sustainability by the AHP model.
Table 5. Determination of the weight of the four aspects of EnMS sustainability by the AHP model.
AspectStatisticsAspectStatistics
AHP ModelWeightAHP ModelWeight
W1, Economic0.31
W2, Organizational0.33
W3, Energy performance0.23
W4, Environmental0.13
Eigenvalue(λ)—average value4.08
Consistency ratio (CR)0.03
Organizational aspectWeightEnergy performance aspectWeight
WG21, Commitment0.6WG31, Energy planning0.55
WG22, Organizing ability0.2WG32, Implementation and operation0.24
WG23, Culture and behaviors0.2WG31, Performance evaluation0.21
Eigenvalue(λ)—average value3Eigenvalue(λ)—average value3.02
Consistency ratio (CR)0Consistency ratio (CR)0.01
Table 6. Determination of the weight of the EnMS sustainability indicators by the AHP model.
Table 6. Determination of the weight of the EnMS sustainability indicators by the AHP model.
AspectStatisticsAspectStatistics
Economic—investment and returnsWeightOrganizational—commitmentWeight
WB11,1,, Continuous benefit0.56WB21,1,Top management commitment0.48
WB11,2,, Proportional energy cost0.28WB21,2, Long-term strategic planning0.41
WB11,3,, EE project investment0.11WB21,3, Energy policy0.11
WB11,4, EE investment procedure0.06Eigenvalue(λ)—average value3.03
Eigenvalue(λ)—average value4.09Consistency ratio (CR)0.03
Consistency ratio (CR)0.03
Organizational—organizingWeightOrganizational—culture and behaviorsWeight
WB22,1,, EnMS properly embedded into the business process0.42WB23,1, Motivation and rewards0.46
WB22,2, Energy management and power delegation0..22WB23,2, Participation in energy-saving activities0.31
WB22,3, Resource provision0.25WB23,3, Innovation for energy conservation0.12
WB22,4, The efficiency of the performance of staff in handling energy management0.11WB23,4, Communication and internal networking0.11
Eigenvalue(λ)—average value4.05Eigenvalue(λ)—average value4.05
Consistency ratio (CR)0.02Consistency ratio (CR)0.02
Energy performance—energy planningWeightEnergy performance—implementation and operationWeight
WB31,1, Significant energy use0.33WB32,1, Preventive maintenance for SEU0.29
WB31,2, Energy audit program for SEUs0.36WB32,2, Operational control procedure for energy saving0.29
WB31,3, Energy performance improvement procedure0.16WB32,3, Regulatory compliance0.22
WB31,4, Effective EnPIs0.15WB32,4, Staff engagement and competence training0.13
Eigenvalue(λ)—average value4.02WB32,5, Design and procurement procedure0.08
Consistency ratio (CR)0.01Eigenvalue(λ)—average value5.17
Consistency ratio (CR)0.04
Energy performance—monitoring and verificationWeightEnvironmental—environment impactWeight
WB33,1, Monitoring and analysis0.30WB41,1, Environmental standard0.55
WB33,2, Verification procedure for energy performance0.16WB41,2, Waste management0.24
WB33,3, Management review0.54WB41,3, Resource reduction0.21
Eigenvalue(λ)—average value3.01Eigenvalue(λ)—average value3.02
Consistency ratio (CR)0.01Consistency ratio (CR)0.02

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Nakthong, V.; Kubaha, K. Development of a Sustainability Index for an Energy Management System in Thailand. Sustainability 2019, 11, 4587. https://doi.org/10.3390/su11174587

AMA Style

Nakthong V, Kubaha K. Development of a Sustainability Index for an Energy Management System in Thailand. Sustainability. 2019; 11(17):4587. https://doi.org/10.3390/su11174587

Chicago/Turabian Style

Nakthong, Vichan, and Kuskana Kubaha. 2019. "Development of a Sustainability Index for an Energy Management System in Thailand" Sustainability 11, no. 17: 4587. https://doi.org/10.3390/su11174587

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